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In this paper, we investigate low probability interception (LPI) in passive phased array radars. Power control and transmit beamforming (BF) are used to minimize the received power by the interceptor. Meanwhile, desired target detection performances and the limited power budget of radar are guaranteed. The LPI problem is solved analytically and some theorems are derived for the design of optimum BF weights. Two LPI optimization problems from different perspectives are formulated and solved analytically in preparing closed-form solutions for designing transmit BF weights. LPI performance and computation time of the proposed algorithms are compared with that of the benchmark algorithms. Simulation results show that proposed algorithms not only minimize the interception probability of radar in comparison with benchmark algorithms but also satisfy desired detection performance and power budget constraints simultaneously. The proposed algorithms outperform the standard numerical Barrier algorithm in complexity and optimality. [ABSTRACT FROM AUTHOR]

To overcome the severe space-time adaptive processing (STAP) performance degradation caused by array gain/phase (GP) errors and undesirable random range sidelobe couplings, a novel cascaded suppression method based on joint iterative optimization is proposed for airborne passive radar. The proposed cascaded method (CM) exploits the sparse nature of these undesirable sidelobe couplings, reformulates the sparsity recovery problem as a joint optimization problem of the spatio-temporal profile and array GP errors, and achieves sidelobe couplings suppression before STAP. A range of simulations is conducted to test the proposed method. [ABSTRACT FROM AUTHOR]