Generalized Co-Prime MIMO Radar for DOA Estimation With Enhanced Degrees of Freedom
Junpeng Shi, Guoping Hu, Xiaofei Zhang, Fenggang Sun, Zheng Wang, Yu Xiao · IEEE Sensors Journal · 2017
In this paper, we propose a generalized co-prime multiple-input multiple-output (MIMO) configuration for direction of arrival estimation. Compared with the conventional coprime MIMO radar that requires prototype co-prime arrays for transmitter and receiver, the proposed configuration enlarges the inter-element spacing of transmitter with an integer expansion factor. By vectorizing the sample covariance matrix, the generalized sum and difference coarray (GSDC) concept is defined for exploiting the advantages of proposed configuration. The analytical expressions for the expansion factor, the maximum consecutive lags, and the number of unique lags are derived carefully. It is verified that GSDC can obtain more degrees of freedom (DOFs) with the increase of expansion factor. Specifically, with O(M+N) sensors, GSDC can provide O(M2N2) DOFs, whereas the conventional one only has O(MN) DOFs. Simulation results demonstrate the usefulness of proposed configuration utilizing both spatial smoothing and sparse representation algorithms.