Owing to the advantages in detecting the low altitude and stealth target, passive bistatic radar (PBR) has received much attention in surveillance purposes. Due to the uncontrollable characteristic of the transmitted signal, a high level range or Doppler sidelobes may exist in the ambiguity function which will degrade the target detection performance. Mismatched filtering is a common method to deal with the ambiguity sidelobe problem. However, when mismatched filtering is applied, sidelobes cannot be eliminated completely. The residual sidelobes will cause false-alarm when the constant false alarm ratio (CFAR) is applied. To deal with this problem, a new target detection method based on preprocessing is proposed. In this new method, the ambiguity range and Doppler sidelobes are recognized and eliminated by the preprocessing method according to the prior information. CFAR is also employed to obtain the information of the target echo. Simulation results and results on real data illustrate the effectiveness of the proposed method.

中文翻译：

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无源双基地雷达目标检测方法

由于在探测低空和隐身目标方面的优势，无源双基地雷达（PBR）在监视用途中备受关注。由于传输信号的不可控特性，模糊度函数中可能存在高电平范围或多普勒旁瓣，这会降低目标检测性能。失配滤波是处理模糊旁瓣问题的常用方法。然而，当应用失配滤波时，旁瓣不能完全消除。当应用恒定误报率 (CFAR) 时，残余旁瓣将导致误报。针对这一问题，提出了一种基于预处理的目标检测新方法。在这种新方法中，根据先验信息，通过预处理方法识别和消除模糊范围和多普勒旁瓣。CFAR 也用于获取目标回波的信息。仿真结果和真实数据的结果说明了所提出方法的有效性。