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对于均匀Gauss背景中的SwerllingII型起伏目标的多传感器分布式恒虚警检测,为了充分利用阵列雷达接收信号间的相位关系,采用了相干检波信号处理方式。针对局部检测统计量信息量大,通信带宽小的特点,结合实际检测中信号强度未知等困难,提出了广义似然比恒虚警(GLR-CFAR)局部处理算法。仿真结果表明,该检测方式性能接近最优性能,传感器积累对信噪比改善明显,达到3~7dB,提高小信号目标的检测概率,且具有实现简单的优点。因此,此方法适合用于多雷达检测场合。
For the multi-sensor distributed CFAR detection of the Swerlling II fluctuating target in the uniform Gauss background, in order to make full use of the phase relationship between the received signals of the array radar, coherent detection signal processing is adopted. In view of the large quantity of information and the low bandwidth of communication in local detection statistics, a GLR-CFAR local processing algorithm is proposed based on the difficulty of unknown signal strength in actual detection. The simulation results show that the performance of this method is close to optimal performance, and the sensor accumulation improves the signal-to-noise ratio remarkably to 3 ~ 7dB, which improves the detection probability of small signal targets and has the advantages of simple implementation. Therefore, this method is suitable for multi-radar detection.