This paper studies the performance of the GOSGO and GOSSO CFAR detectors [1] in clutter edge situation. The authors derive the analytic expressions of the false alarm probabilities in that situation, analyze their per...This paper studies the performance of the GOSGO and GOSSO CFAR detectors [1] in clutter edge situation. The authors derive the analytic expressions of the false alarm probabilities in that situation, analyze their performances against clutter edge, and compare them with the OS, CA, GO and SO detectors. The results show that GOSGO possesses better performance than GO for countering clutter, but the performance of GOSSO is very unideal.展开更多
针对认知雷达在杂波环境下探测扩展目标时,回波信号的信号杂波噪声比(SCNR)较低的问题,提出了一种基于SCNR认知雷达发射波形优化设计方法。首先,不同于以往的点目标模型,通过建立扩展目标探测模型,得到认知雷达回波信号杂波噪声比(SCNR...针对认知雷达在杂波环境下探测扩展目标时,回波信号的信号杂波噪声比(SCNR)较低的问题,提出了一种基于SCNR认知雷达发射波形优化设计方法。首先,不同于以往的点目标模型,通过建立扩展目标探测模型,得到认知雷达回波信号杂波噪声比(SCNR)与发射信号能量谱密度(ESD)间的关系;其次,根据最大SCNR准则推导出发射信号ESD的全局最优解;最后,为了得到有实际意义的时域信号,采用相位调制的方式,结合最小均方误差(MMSE)和迭代算法将最优ESD合成满足雷达发射要求的恒幅时域信号。仿真实验中,该方法所得时域合成信号幅度为1,在匹配滤波器输出端的SCNR为19.133 d B,仅小于理想值0.005 d B。结果表明,所得到的时域波形不仅能够满足恒幅要求,而且能使接收机输出端的SCNR接近理想值,提高了扩展目标探测性能。展开更多
文摘This paper studies the performance of the GOSGO and GOSSO CFAR detectors [1] in clutter edge situation. The authors derive the analytic expressions of the false alarm probabilities in that situation, analyze their performances against clutter edge, and compare them with the OS, CA, GO and SO detectors. The results show that GOSGO possesses better performance than GO for countering clutter, but the performance of GOSSO is very unideal.
文摘针对认知雷达在杂波环境下探测扩展目标时,回波信号的信号杂波噪声比(SCNR)较低的问题,提出了一种基于SCNR认知雷达发射波形优化设计方法。首先,不同于以往的点目标模型,通过建立扩展目标探测模型,得到认知雷达回波信号杂波噪声比(SCNR)与发射信号能量谱密度(ESD)间的关系;其次,根据最大SCNR准则推导出发射信号ESD的全局最优解;最后,为了得到有实际意义的时域信号,采用相位调制的方式,结合最小均方误差(MMSE)和迭代算法将最优ESD合成满足雷达发射要求的恒幅时域信号。仿真实验中,该方法所得时域合成信号幅度为1,在匹配滤波器输出端的SCNR为19.133 d B,仅小于理想值0.005 d B。结果表明,所得到的时域波形不仅能够满足恒幅要求,而且能使接收机输出端的SCNR接近理想值,提高了扩展目标探测性能。
