Alternating direction method of multipliers for radar waveform design in spectrally crowded environments

作者：Tang, Bo^*; Li, Jian; Liang, Junli

来源：Signal Processing, 2018, 142: 398-402.

DOI：10.1016/j.sigpro.2017.08.003

• Waveform design
• Spectral congestion
• Similarity constraint
• Signal-to-interference-plus-noise ratio (SINR)

This paper addresses the radar waveform design problem in spectrally crowded environments. The aim is to maximize the output signal-to-interference-plus-noise ratio (SINR) of the waveform under spectral and similarity constraints. The existing algorithm proposes to tackle such a problem via semidefinite relaxation (SDR) and rank-one decomposition, resulting in high complexity and limited applications. Motivated by the decomposability and superior convergence properties of alternating direction method of multipliers (ADMM), we propose a novel algorithm to tackle the waveform optimization problem. Since simpler subproblems are involved at each iteration and they can be tackled efficiently, the proposed algorithm has a much lower computational complexity than the existing algorithm. Numerical examples demonstrate the effectiveness of the proposed algorithm.

• 出版日期2018-1
• 单位西北工业大学; 中国科学技术大学