自适应选择的雷达回波空间积累检测方法

空间部分相干时的回波积累检测是分布式雷达回波信号联合处理面临的难题。针对传统相干和非相干积累检测方法在空间部分相干时回波检测性能损失较大的问题，建立了目标三维散射模型，分析了各站回波空间相关性变化规律，引入时域加权能量检测器用于空间部分相干积累检测，提出了以回波的空间相关系数大小为依据进行自适应选择的积累检测方法，有效解决了回波在任意空间相关性时高效积累检测。仿真结果表明该方法能根据相关系数大小正确选择3种积累检测方法，且检测性能优于传统的相干和非相干积累检测方法。

Radar echoes spatial accumulation and detection by adaptive selection

The accumulation and detection of space partial-coherent echoes is a difficult problem in jointly signal processing for distributed radar.Traditional coherent and incoherent accumulation and detection methods have a performance loss when echoes are partial-coherent.For this problem,a three-dimensional target scattering model is presented and the change rule of echoes spatial correlation is analyzed.Then,a time-domain weighed power detector is employed to space partial-coherent accumulation and detection.Finally,an accumulation and detection method of adaptive selection based on the value of spatial correlation coefficient is proposed,and the problem of accumulation and detection with arbitrarily correlation is solved.The simulation results show that the method can choose three accumulation and detection methods according to the value of correlation coefficient correctly,and the detection performance is superior to that of traditional coherent and incoherent methods.