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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Radar phase noise modeling and effects-part II: pulse doppler processors and sidelobe blankers
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Radar phase noise modeling and effects-part II: pulse doppler processors and sidelobe blankers

机译：雷达相位噪声建模和影响第二部分：脉冲多普勒处理器和旁瓣消隐器

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摘要

Random and unwanted fluctuations that perturb the phase of an ideal reference sinusoidal signal may cause significant performance degradation in radar systems employing coherent integration techniques. In this second part of the study, resorting to the fast-time/slow-time data matrix representation developed in "Part I" of this two-part study, we assess the performance of both pulse Doppler processing (PDP) algorithms and sidelobe blanker (SLB) techniques when phase noise and Gaussian interference (clutter plus noise) impair the data. Specifically, we derive analytically manageable expressions for: 1) the probability of false alarm and the probability of detection of PDP algorithms; 2) the probability of false alarm, the probability of blanking a coherent repeater interference, and the probability of blanking a target in the mainlobe of SLB processors. Simulation results show that phase noise may slightly degrade the performance of PDP and SLB processors as long as its power spectral density correctly represents the available measurements. Additionally, the matched filter receiver ensures a high level of robustness against phase noise, highlighting its robustness against steering and covariance matrix mismatches, a property that we formally prove in the paper.
机译：在采用相干积分技术的雷达系统中，干扰理想参考正弦信号相位的随机和不希望有的波动可能会导致性能显着下降。在该研究的第二部分中，借助于此两部分研究的“第一部分”中开发的快速/慢速数据矩阵表示，我们评估了脉冲多普勒处理（PDP）算法和旁瓣消隐器的性能（SLB）技术，当相位噪声和高斯干扰（杂波加噪声）削弱数据时。具体而言，我们得出以下分析可管理的表达式：1）错误警报的概率和PDP算法的检测概率； 2）虚假警报的可能性，消隐相干中继器干扰的概率以及消隐SLB处理器主瓣中的目标的概率。仿真结果表明，只要相位噪声的功率谱密度能够正确表示可用的测量值，它就会稍微降低PDP和SLB处理器的性能。此外，匹配滤波器接收器确保了对相位噪声的高鲁棒性，突出了其对转向和协方差矩阵不匹配的鲁棒性，这是我们在本文中正式证明的特性。

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