An Extended Robust Chance-Constrained Power Allocation Scheme for Multiple Target Localization of Digital Array Radar in Strong Clutter Environments

The traditional power allocation method for multi-target localization adopts the Robust Chance Constrained Power Allocation Scheme (RCC-PA), which does not consider strong clutter characteristics in current radar detection environment. However, how to reasonably allocate required locate target is a fundamental challenge improving combat capability of radar. Since Simultaneous Multi-beam Digital Array Radar (SM-DAR) can provide high-resolution information on targets clutter, this paper extends RCC-PA scheme and introduce an extended model suitable SM-DAR. At same time, Gamma distribution used reflect statistical Cross Section (RCS) so that (ERCC-PA) be all scatterers whose RCS belong families. In ERCC-PA scheme, Strong Clutter Information Reduction Factor (SCIRF) first derived. Then, Chance-constraint Programming Model (Γ-CCP model) constructed optimize locating multiple clutter. dichotomy also given. Theoretical analysis shows still allocated under with multi-measurement characteristics. addition, negatively correlated shape parameter distribution. Specifically, larger characterizes individual scatterer, resulting SM-DAR requiring less positioning power. experimental results verify theoretical show improve utilization compared benchmark has advantage robustness fluctuation RCS.