Joint beam selection and power allocation in cognitive collocated MIMO radar for potential guidance application under oppressive jamming

Abstract

The collocated multiple-input and multiple-output (MIMO) radar can track multiple targets simultanesouly under the simultaneous multi-beam (SM) working mode. In this case, each transmit beam is focused to illuminate the region of interest (ROI), and then a focused beam is formed at the receiver for higher resolution. A joint beam selection and power allocation (JBSPA) strategy for potential guidance application under oppressive jamming is developed in this mode. On account of the posterior Cramér-Rao lower bound (PCRLB) offering a quantitative measurement for target tracking accuracy, the PCRLB is derived and utilized as the optimization criterion. The optimization model is formulated with the aim of improving the effective tracking target quantity and the sum of the PCRLBs of the effective tracking targets (ETTs). By exploiting the local search based on the benefit-cost ratio (BCR), the previous JBSPA problem is converted into a convex problem, and then transformed into a semidefinite programming (SDP) problem to solve it. Numerical results demonstrate the superior performance of the proposed strategy in improving the multiple target tracking (MTT) performance.