基于相关法的分布式全相参雷达相干参数估计及相参性能

针对一般结构的分布式全相参雷达，研究了基于相关法的时延差和相位差估计性能以及输出信噪比增益(oSNRg)。首先分别建立多输入多输出(MIMO)模式和全相参(FC)模式下的信号模型。然后重点分析估计相位差时的相位模糊问题，并提出一种有效的解模糊方法。数值实验结果表明:当输入信噪比足够高时，相关法能够获得稳健的相干参数估计，且oSNRg接近理想值。

Coherent Parameters Estimation by Cross-correlation for Distributed Aperture Fully Coherent Radar

For distributed aperture coherent radar of general signal processing architecture, the estimating performance of time delay differences and phase differences, and the output Signal to Noise Ratio gain (oSNRg) based on cross-correlation are studied in this paper. Firstly, the signal models are proposed in Multiple-Input Multiple-Output (MIMO) mode and Fully Coherent (FC) mode respectively. Then the phase ambiguity with estimating phase differences by cross-correlation is deeply analyzed, and an effective method for resolving ambiguity is proposed to estimate robustly the phase differences. Numerical examples demonstrate that when the input SNR is high enough, the coherence parameters can be estimated robustly and the oSNRg approaches the ideal value by cross-correlation method.