Transmit Antenna Selection and Power Allocation for Joint Multi-Target Localization and Discrimination in MIMO Radar with Distributed Antennas under Deception Jamming

In this paper, with the aim of performing joint multi-target localization and discrimination tasks, a performance-driven resource allocation scheme is proposed. first, by establishing signal model under deception jamming utilizing maximum likelihood (ML) estimator, estimation information targets can be obtained. Secondly, Cramer–Rao lower bound (CRLB) for transmit antenna selection power derived. Then, to fully utilize difference in spatial distribution between true false targets, target discriminator based on CRLB distance parameter utilized. By introducing nondimensionalization mechanism, we build an optimal objective function error probability. Subsequently, optimization has been established, which mathematically non-smooth non-convex problem. auxiliary variable, propose three-step solution strategy solving Simulation results demonstrate that proposed algorithm improve performance accuracy ability (JLADA) more than 30% compared algorithms only or discrimination. Meanwhile, algorithm, composite indicators JLADA decrease 70% uniform scheme.