With the continuous increase in the size of antenna arrays and the increasing number of antenna elements,the cost of analog-to-digital converters is rising.1-bit quantization technology can effectively reduce data size and computational complexity,and array positioning based on 1-bit quantizers is an urgent problem to be solved.This article proposes a direction finding method under a 1-bit quantizer,which is suitable for both uniform linear arrays and sparse linear arrays and has high adaptability.Firstly,a covariance matrix reconstruction optimization problem is established based on the various characteristics of the covariance matrix under 1-bit quantization.Then,the problem is solved,and finally,the estimated angle value is obtained through the Vandermonde decomposition theorem.Since this method does not require grid partitioning,it achieves meshless estimation with high estimation accuracy.
关键词
阵列测向/1比特量化/无网格/稀疏阵列
Key words
array direction finding/one-bit quantization/gridless/sparse arrays
维普
万方数据