Performance Analysis and Improvement of Constrained Adaptive Monopulse Approach
IEEE SIGNAL PROCESSING LETTERS(2024)
摘要
Adaptive monopulse algorithm always faces low angle measurement performance in multi-interference environments with low signal-to-noise ratio. To clarify the impact factors, we analyze the performance of monopulse ratio estimation and further derive the Cramer-Rao bound (CRB) for angle estimation. Based on the analysis, a constraint-relaxed adaptive monopulse (RCAM) optimization problem is proposed, and the closed-form solution of the problem is obtained by alternative-direction-method-of-multipliers (ADMM) with fast convergence. Numerical simulations have been provided to demonstrate the effectiveness of the proposed algorithm in improving beamforming and angle estimation.
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关键词
Constrained adaptive monopulse (CAM),Cramer-Rao bound (CRB),angle estimation
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