基于均匀性判定规则的统计MIMO雷达多通道融合检测技术

针对统计MIMO雷达各观测通道统计特性不一致的情况,提出了一种多通道融合检测技术。该技术利用均匀性判定规则,选择一组均匀的、"被认为是具有较高信杂噪比"的局部检验统计量来构建全局检验统计量,即新的检测器。给出了新检测器的设计步骤和均匀性判定规则,并利用全概率公式证明了新检测器的虚警概率与每一操作步骤中过门限概率的关系,从而为仿真得出检测门限提供了理论基础。仿真结果表明,在不同通道间信噪比分布类型条件下,新检测器的检测性能具有较强的稳健性,且与不同条件下性能最优的检测器相比,其性能损失很小。

Multi-Channel Fusion Detection Technique of Statistical MIMO Radar Based on Uniformity Determination Rule

In view of this case that the statistical characteristics of MIMO radar observation channels differed from each other, a multi-channel fusion detection technique was proposed in this paper. This detection technique firstly utilized theuniformity determination rule to select a set of uniform local test statistics which was considered as having higher signal-to-noise ratio, and then used these local test statistics to construct a global test statistic, i.e., a new detector. The designsteps and uniformity determination rule of the new detector were given, as well as full probability formula was used toprove the relationship between the probability of false alarm and the threshold probability in each operation step, whichprovided a theoretical basis for solving detection threshold by simulation. The simulation results showed that, under thecondition of diverse SNR distribution types, the detection performance of new detector had strong robustness, and com.pared with the optimal detector under different conditions, the performance loss of the new detector was very small.