A new technique for locating a moving source radiating a wide-band almost-cyclostationary signal is proposed. For this purpose, the signals received on two possibly moving sensors are modeled as jointly spectrally correlated, a new nonstationarity model that allows one to describe the Doppler effect accounting for a time-scale or time-stretch factor in the complex envelopes of the received signals. The proposed approach relaxes the narrow-band condition constraint under which the Doppler effect is modeled just as a frequency-shift of the carrier. The typical interference-tolerance property of cyclostationarity-based algorithms is shown to be valid under mild conditions also for (jointly) spectrally correlated signals. With respect to classical source location methods, removing the constraint of the narrow-band condition allows the adoption of larger signal bandwidths and data-record lengths, lower signal-to-noise and signal-to-interference ratios, and the capability to operate in scenarios with higher mobility. The new source location method, dubbed wide-band spectral coherence alignment (WB-SPECCOA), is exploited in a location problem involving low Earth orbit satellites.

中文翻译：

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一种宽带动源无源定位的抗干扰算法

提出了一种用于定位辐射宽带几乎循环平稳信号的移动源的新技术。为此，在两个可能移动的传感器上接收到的信号被建模为联合频谱相关，这是一种新的非平稳模型，它允许人们描述多普勒效应，考虑到接收信号的复杂包络中的时间尺度或时间拉伸因子. 所提出的方法放宽了窄带条件约束，在该条件下，多普勒效应被建模为载波的频移。表明基于循环平稳性的算法的典型干扰耐受特性在温和条件下也适用于（联合）频谱相关信号。相对于经典的源定位方法，消除窄带条件的约束允许采用更大的信号带宽和数据记录长度、更低的信噪比和信号干扰比，以及在具有更高移动性的场景中运行的能力。新的源定位方法，称为宽带光谱相干对齐 (WB-SPECCOA)，被用于涉及低地球轨道卫星的定位问题。