宽带频谱稀疏信号的空时互质采样及参数估计

Spatio-temporal Co-prime Sampling and Parameter Estimation of Wideband Sparse Signal

针对宽频段多窄带信号的联合参数估计问题,该文提出一种基于空时互质采样的频率和DOA联合估计方法。该方法基于互质采样理论,在空间上采用互质阵列模型,并对阵列中每个阵元进行时域互质采样,通过构造空时协方差矩阵产生出空时二维差分有限阵列来完成空频联合估计。此方法可以极大地提高空时域的可探测目标数。另外,该文推导了空时互质参数的最优选取准则。仿真结果验证了此方法的正确性和有效性。

A method of joint frequency and DOA estimation based on spatio-temporal co-prime sampling is proposed for mu- ti-narrowband signal which spreads over a wide spectrum. In the space domain, a co-prime array is adopted. Following each array element is a co-prime sampler. A two-dimensional difference coarray is produced by the construction of spatio- temporal covarianee matrix. This method can not only achieve efficient estimation of frequency and DOA, but also gives much higher degrees-of-freedom （DOFs） than traditional methods. In addition, the optimum selection criterion of co-prime parameters is also discussed. Simulation results demonstrate the correctness and effectiveness of the novel approach.