Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

This paper investigates the position-tracking and attitude-tracking control problem of close formation flight with vortex effects under simultaneous actuator and sensor faults. On the basis of the estimated state and fault information from unknown input observers and relative output information from neighbors, an integration of decentralized fault estimation and distributed fault-tolerant control is

The continuous growth in the demand for air transportation exceeds the capacity of existing infrastructure, usually leading to unreliable flight schedules, i.e., long flight delays and uncertainties in arrival/departure and taxi times. We tackle the problem in this paper by designing an air traffic control algorithm, which can accommodate both airport throughput and flight quality of service in terms

The quad-phase codes of a given length may be organized into equivalence classes relative to a set of operations preserving autocorrelation peak sidelobe level (PSL). Knowledge about these equivalence classes can be exploited for faster searches or for efficient listing of low- $\rm PSL$ codes. This paper is part of an effort to enumerate autocorrelation $\rm PSL$ equivalence classes for quad-phase

High resolution imaging using chaos-based frequency modulation (CBFM) in a bistatic radar system is evaluated in terms of the cross-ambiguity function. A 3-D Lorenz system is used to generate and transmit a wideband CBFM waveform. The bistatic radar's receiver is synchronized with its transmitter utilizing a direct synchronization scheme. The cross-correlation between the reconstructed and transmitted

The terminal constraints in entry guidance design are generally position and velocity constraints. In this study, the terminal time constraint is also taken into account. The estimates of time-to-go and range-to-go are discussed based on the quasi-equilibrium glide condition. Further analysis reveals that only two among the time-to-go, range-to-go, and terminal velocity are independent. Based on this

This paper investigates the use of space-based tracking data to determine the initial orbit of low-earth orbit (LEO) target satellites. A series of tracking data without distance information of a LEO target satellite can be provided by a space-based imaging observer and a target detection process. First, Gauss’ method is applied to a series of a target satellite's tracking data to estimate its state

Various methods have been proposed for passive localization by using a network of sensors measuring different parameters such as the angle of arrival (AOA), time difference of arrival (TDOA), Doppler frequency difference of arrival (FDOA), differential received signal strength (DRSS), the gain ratio of arrival (GROA), or a combination of these pieces of information. In this paper, a method for target

The cross correlation between GPS L1 coarse acquisition signals manifests as an increased noise floor in the receiver. Reducing the amount of added noise for enhancing tracking performance is important. Successive interference cancellation (SIC) is a method, which can reduce cross-correlation noise, but its performance is dependent on the receiver bandwidth and quantization. This research analyzes

We present a cognitive prototype that demonstrates a colocated, frequency-division-multiplexed, multiple-input multiple-output (MIMO) radar, which implements both temporal and spatial sub-Nyquist sampling. The signal is sampled and recovered via the Xampling framework. Cognition is due to the fact that the transmitter adapts its signal spectrum by emitting only those subbands that the receiver samples

This paper proposes a new acoustic vector sensor array geometry containing a sparse right triangular subarray with three guiding vector sensors plus an additional subarray with arbitrarily placed vector sensors at unknown locations and develops a new cumulant-based algorithm for two-dimensional direction estimation (CADE) of multiple non-Gaussian signals. In the CADE algorithm, three cumulant matrices

This paper proposes an optimal arrangement framework of ballistic missile defense systems, such as a launcher and radar to maximize the survivability of protected assets. In order to solve the optimization problem through a probabilistic approach, we derive a single shot kill probability (SSKP) model based on engagement geometries, trajectory characteristic of an interceptor and a ballistic missile

This paper studies the carrier landing control problem for aircraft in presence of model uncertainty, deck motion, and airwake disturbances. An automatic carrier landing system (ACLS) is designed. An adaptive super-twisting control (ASTC) scheme is proposed for a class of nonlinear multivariable system by combining parameter adaptions and sliding mode differentiators, and is applied to ACLS to ensure

This paper investigates the problem of a divisible nonlinear load distribution on homogeneous complete b -ary tree networks. Classic models of nonlinear computational loads omit several steps in processing the load and yield only an approximate distribution for fractional loads. This paper considers a new model of nonlinear computational loads that includes all load processing steps and yields a practical

Bus saturation is deemed as one of the primary causes of delays in the data propagation between spacecraft components. However, the conditions under which bus congestion can affect measurements variability were not well characterized before. This paper presents a bus saturation model and a set of experiments to characterize the bus performance of satellite missions for different traffic load, data

Motivated by the problem of radar target recognition, we develop a label-aided factor analysis (LA-FA) model for statistical modeling of high-resolution range profile (HRRP) under the prerequisite that the HRRP data are Gaussian distributed. The LA-FA model is the extension of the multitask learning-based factor analysis (MTL-FA) model, which is mainly applied to the recognition problem with small

In this paper, we consider requirement-driven selection of Costas arrays for the detection of closely spaced targets. We review existing order selection strategies in terms of the time–bandwidth product and treat selection of specific Costas arrays separably. Our computational analyses prioritize a clear central region in single-pulse discrete ambiguity functions (DAFs) and also address maximum frequency

A capture region of the composite guidance law is analyzed for a missile equipped with a strapdown seeker. The composite guidance law consists of a deviated pure pursuit guidance law and a pure proportional navigation guidance law to perform impact-angle control. The range of the field-of-view limit restricts the performance of the guidance law, which reduces the capture region. Based on the characteristics

Achieving the long-endurance of a solar-powered unmanned aerial vehicle is difficult under a limited amount of energy and specific meteorological environments. Therefore, it is essential to manage the energy used by a solar-powered UAV during a mission. In this paper, a framework for energy-based path planning for a solar-powered UAV is presented. In order to generate the optimal path in terms of energy

In this paper, we extend the forward-scanning synthetic aperture radar (SAR) methodology to reconstruct images of the moving targets, for a forward-looking automotive radar. We adapt a matrix decomposition approach to forward-scanning SAR in order to separate moving targets from clutter/stationary objects. To solve our optimization problem, we propose an iterative solution based on augmented Lagrangian

This paper presents the modeling, design, and implementation of two intellectual property (IP) cores that are compliant with the consultative committee for space data systems (CCSDS) 121.0-B-2 and CCSDS 123.0-B-1 lossless satellite image compression standards. The CCSDS 121.0-B-2 describes a lossless universal compressor based on a Rice adaptive encoding. The CCSDS 123.0-B-1 standard describes a lossless

Most of the existing deinterleaving methods work offline; they deinterleave pulse streams in a recursive way via multipass searching. Such methods do not fit online processing applications, and they have very low deinterleaving efficiency. In this paper, I address the deinterleaving problem of streams with repetitive periods, such as streams with constant or stagger pulse repetition intervals. Transitions

This paper investigates the coordinated attitude synchronization and tracking problems of multiple rigid-body spacecraft subject to inaccurate inertial parameters. Two adaptive distributed control algorithms are developed based on communications among spacecraft connected through a switching communication network, which allow each switching subgraph to be disconnected. In the first place, by introducing

In harsh radiation environments, nanoscale CMOS latches have become more and more vulnerable to triple-node upsets (TNUs). This paper first proposes a latch design that can self-recover from any possible TNU for aerospace applications in the 16-nm CMOS technology. The proposed latch is mainly constructed from seven mutually feeding-back soft-error-interceptive modules (SIMs), any of which consists

Multiple-stage adaptive architectures are conceived to face with the problem of target detection buried in noise, clutter, and intentional interference. First, a scenario where the radar system is under the electronic attack of noiselike interferers is considered. In this context, two sets of training samples are jointly exploited to devise a novel two-step estimation procedure of the interference

This paper investigates the coordinated control for multiple spacecraft system with state constraints. The proposed control scheme is with application to a novel multiple spacecraft system called tethered space net robot. The coordinated control strategies are proposed based on the artificial potential field method. Simulations show that the system can track the desired trajectory with the predetermined

The telescope design of a very high-resolution earth observation satellite is a challenging task, due to several constraints, including the size, mass, performance, tolerance, assembly, integrating, and environmental aspects. However, the demand for very high-resolution satellite imageries has increased day by day due to the numerous commercial and military applications. In this paper, two different

Traditional network localization algorithms contain ranging and localization steps, which have systematic disadvantages. We propose an algorithm dubbed direct particle filter based distributed network localization (DiPNet). A node's location is directly estimated from the received signals, incorporating location uncertainty of neighboring nodes. The propagation effects on DiPNet become insignificant

In this paper, we deal with the problem of detecting point-like targets in the presence of Gaussian disturbance with unknown covariance matrix. In particular, we consider the so-called partially homogeneous environment, where the disturbances in both the cell under test (CUT) and the secondary data share the same covariance matrix up to an unknown power scaling factor. Specifically, we model the disturbance

The micro-Doppler phenomenon in the echo signal received from a ballistic target (BT) with micro-motion is commonly used to discriminate BTs such as warheads and decoys. The joint time-frequency (JTF) analysis of the echo signal has been considered as useful two-dimensional (2-D) information in BT discrimination, which generally requires a framework based on the processing of the 2-D JTF image with

This paper presents a wind estimation method for a dual-rotor tail-sitter unmanned aerial vehicle with all flight phases. The large flight envelope and the slipstream generated by the propellers introduce extra challenges to estimating the wind field during flight for dual-rotor tail-sitter aircraft. In this method, a synthetic wind measurement is proposed based on a low-fidelity aircraft model and

This note presents a novel control framework based on disturbance estimation information to exploit the potential performance improvement. Disturbances in the hypersonic reentry vehicles are revisited, and a disturbance effect indicator (DEI) is defined to demonstrate the pros and cons of disturbances’ influence on the system. Based on the disturbance estimation, a disturbance estimation-triggered

A new matching algorithm is proposed by fusing the histogram of oriented gradients’ and the Zernike moments’ descriptors extracted from the real-time synthetic aperture radar (SAR) images and the real-time elevation maps (REMs), respectively. Both the SAR images and the REMs are acquired by an on-board interferometric SAR simultaneously. The two reciprocal descriptors are fused by weighting their Canberra

This paper addresses distributed registration of a sensor network for multitarget tracking. Each sensor gets measurements of the target position in a local coordinate frame, having no knowledge about the relative positions (referred to as drift parameters) and azimuths (referred to as orientation parameters) of its neighboring nodes. The multitarget set is modeled as an independent and identically

This paper addresses the design and performance analysis for a preview control laser range finder (LRF) based terrain-following system for fixed-wing unmanned aerial vehicles. The complexity and performance of such systems depend predominantly on the chosen concept and the layout of its hardware components, mainly its sensors. The related estimation and control algorithms designed for the terrain-following

This article presents the development of a multi-unmanned aerial vehicle (UAV) based crowd monitoring system, demonstrating a system that uses UAVs to periodically monitor a group of moving walking individuals. Using auction paradigms to distribute targets among UAVs and genetic algorithms to calculate the best order to visit the targets, the system has shown capabilities to efficiently perform the

Drowsiness detection has a significant importance in aviation industry. Electroencephalogram (EEG) has been extensively studied to characterize drowsiness; nevertheless, its behavior with respect to accurately annotated drowsy periods remains to be investigated. At present, Karolinska Sleepiness Scale and psychomotor vigilance task are widely used references for subjective drowsiness analysis. However

The number of nodes in sensor networks is continually increasing, and maintaining accurate track estimates inside their common surveillance region is a critical necessity. Modern sensor platforms are likely to carry a range of different sensor modalities, all providing data at differing rates, and with varying degrees of uncertainty. These factors complicate the fusion problem as multiple observation

A closed-form model for the forward scatter radar (FSR) signal is presented with the goal to overcome the far-field (FF) limitation of the commonly used models. The proposed Fresnel closed-form (FCF) model, based on an approximation of the Helmholtz–Kirchhoff electromagnetic theory, correctly represents the received field of rectangular metallic targets crossing the baseline either in the short range

We consider decentralized detection of an unknown signal corrupted by zero-mean unimodal noise via wireless sensor networks. We assume the presence of both smart and dumb sensors: the former transmit unquantized measurements, whereas the latter employ multilevel quantizations (before transmission through binary symmetric channels) in order to cope with energy and/or bandwidth constraints. The data

This paper presents an adaptive neural network dynamic surface control approach for the post-capture tethered spacecraft, where model uncertainties, input saturation, and state constraints exist. First, a dynamic model of the post-capture tethered spacecraft considering the three-dimensional attitude of the target satellite is derived by the Lagrange formalism. Then, the neural network is adopted to

Photon counting detector arrays are commonly used for free-space optical communications in deep space. Such detector arrays—by virtue of their size—help in the collection of the optical signal even when there is some misalignment between the transmitter and receiver systems. In this paper, we argue that, for the common Gaussian beam profile, a detector array receiver is more useful for minimizing the

This paper proposes a novel dynamic near-optimal control allocation scheme with combination of a saturated baseline controller for spacecraft attitude control using single-gimbal control moment gyros (CMGs) and reaction wheels. First, a saturated controller is proposed to stabilize the nominal system in the presence of actuation mismatch. Aided by a state-dependent variable, a dynamic control allocator

We propose a game-theory-based deep-learning tracking control scheme to enable a holonomic flying system to perform an autonomous trajectory tracking task, when considering saturating actuators, adversarial inputs, and nonquadratic cost functionals. The problem is formulated as a two-player zero-sum game, whose online solution is computed by learning the saddle point strategies in real time. Three

Product codes are multidimensional codes constructed using multiple component codes. In this paper, novel algorithms are proposed for the blind estimation of two-dimensional product code parameters over the noisy channel conditions considering Reed–Solomon and Bose–Chaudhuri–Hocquenghem as component codes. The performance of the algorithms in terms of probability of the correct estimation is investigated

We consider the problem of minimizing the disturbance power at the output of the matched filter in a single antenna cognitive radar set-up. The aforementioned disturbance power can be shown to be an expectation of the slow-time ambiguity function (STAF) of the transmitted waveform over range-Doppler bins of interest. The design problem is known to yield a nonconvex quartic function of the transmit

This paper presents a new dynamic formulation as well as control scheme for space manipulators in order to drive the end-effector along a desired trajectory while minimizing the base disturbances caused by the arm movements. Through the new dynamic formulation, the end-effector is viewed as a virtual base, and the end-effector variables are also considered as generalized coordinates. As a result, joint

A cooperative salvo guidance strategy using fixed finite-time consensus is proposed here. The consensus algorithm is based on sliding mode control. The cooperative salvo attack problem is transformed to a consensus problem over a cycle digraph. This aids in designing a guidance strategy through selection of heterogeneous gains. The proposed strategy guarantees convergence to a common impact time for

Confidence evaluation algorithms for the analysis of binary phase-shift keying (BPSK) signals are discussed. The phase of the product of the observed signal and constructed reference signal is extracted, and its spectrum is utilized to verify confidence. Two extreme statistics of the phase spectrum are developed for the confidence evaluation, which depend on goodness-of-fit tests based on the generalized

A deceptive jamming method against terrain observation by progressive scans synthetic aperture radar (TOPSAR) that considers the effect of the changing relative position between a jammer and a TOPSAR platform is presented. The method can generate flexible false targets with varying Doppler centroids. The jamming problem is decomposed into simpler subproblems of the same type, according to the relative

This paper describes a model-based prognosis method for the health management of a planetary rover. Using a hybrid model of the rover, including a continuous part and a discrete part, a prognoser is generated that relies on the hybrid particle Petri nets (HPPN) data structure. The prognosis process uses the current diagnosis of the system to predict its future states and to determine its end of life

The generalized likelihood ratio test (GLRT) is here combined with the nonparametric approach to derive a new adaptive detector for subpixel targets in hyperspectral images. Specifically, a variable bandwidth kernel density estimator (KDE) is employed for estimating the conditional probability density functions composing the GLRT. Although KDE has generally a low mathematical tractability, an approximated

This paper considers the localization of a moving target using a forward scatter radar consisting of a transmitter and an array antenna receiver. A direct positioning method based on maximum likelihood (ML) estimation is proposed and compared with the conventional two-step method in which the primary parameters, including Doppler shift and angle of arrival, should be determined in the first step. Moreover

The problem of detecting rank-one signals is considered in the presence of subspace interference and Gaussian noise with unknown covariance matrix. A generalized likelihood ratio test (GLRT) detector has already been designed for this detection problem. In this correspondence, we provide analytical performance analysis for the GLRT detector in the mismatched case where the nominal target steering vector

In this paper, we propose a guidance law that considers the field-of-view (FOV) limitation as well as the impact angle and time constraints. In order to develop the guidance law, we first design a desired look angle that satisfies the FOV limitation and impact angle constraint. Since the desired look angle is designed as a function of a gain that determines the length of the remaining trajectory, the

The actual performance of model-based path-following methods for unmanned aerial vehicles (UAVs) shows considerable dependence on the wind knowledge and on the fidelity of the dynamic model used for design. This study analyzes and demonstrates the performance of an adaptive vector field (VF) control law which can compensate for the lack of knowledge of the wind vector and for the presence of unmodeled

We consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum-likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are subject to unknown deterministic perturbations with bounded norms. The analysis, performed using convex