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Fast Implementation of Approximated Maximum Likelihood Parameter Estimation for Frequency Agile Radar under Jamming Environment.
Sensors ( IF 3.4 ) Pub Date : 2020-04-03 , DOI: 10.3390/s20072022
Yang Zhao 1 , Jianxin Wu 2 , Zhiyong Suo 1 , Xiaoyu Liu 1
Affiliation  

A computationally efficient target parameter estimation algorithm for frequency agile radar (FAR) under jamming environment is developed. First, the barrage noise jamming and the deceptive jamming are suppressed by using adaptive beamforming and frequency agility. Second, the analytical solution of the parameter estimation is obtained by a low-order approximation to the multi-dimensional maximum likelihood (ML) function. Due to that, fine grid-search (FGS) is avoided and the computational complexity is greatly reduced.

中文翻译:

干扰环境下频率捷变雷达近似最大似然参数估计的快速实现。

提出了一种在干扰环境下有效计算频率捷变雷达目标参数的算法。首先,通过使用自适应波束成形和频率捷变来抑制弹幕噪声干扰和欺骗性干扰。其次,通过对多维最大似然(ML)函数的低阶近似来获得参数估计的解析解。因此,避免了精细网格搜索(FGS),并且大大降低了计算复杂度。
更新日期:2020-04-03
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