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Sensitivity Optimisation of Real-Time Adaptive Range-Doppler Processing in FM Passive Radar

机译:调频无源雷达实时自适应距离多普勒处理的灵敏度优化

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This paper analyses the performance of adaptive processing algorithms, applied in the range-Doppler domain, for a frequency modulation (FM) based passive radar system, in terms of the processing efficiency, sensitivity and ultimately, detection performance. The algorithms are intended to be applied in a permanently installed passive-radar network and to this end, real-time signal processing considerations are also discussed. The processing methods are evaluated on a data set measured using the passive-radar network and the performance and shortcomings of each method are analysed. It is found that a hybrid Matching Pursuit (MP) method consistently produces the best results, while maintaining reasonable processing and memory requirements for the real-time processing chain. Using Orthogonal Matching Pursuit (OMP) resulted in highest overall probability of detection (Pd), 31 % higher (SNR increased by 11.8 dB) than a conventional matched filter.
机译:本文就处理效率,灵敏度以及最终的检测性能,分析了基于距离多普勒域的自适应处理算法在基于频率调制(FM)的无源雷达系统中的性能。该算法旨在用于永久安装的无源雷达网络中,为此,还讨论了实时信号处理注意事项。在使用无源雷达网络测量的数据集上评估处理方法,并分析每种方法的性能和缺点。结果发现,混合匹配追踪(MP)方法始终能产生最佳结果,同时又对实时处理链保持合理的处理和内存要求。使用正交匹配追踪(OMP)可获得最高的总检测概率(Pd),比传统的匹配滤波器高31%(SNR增加11.8 dB)。

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