A grid-less DOA estimation method for monostatic MMO radar

A gridless sparse reconstruction technology is applied to monostatic MIMO radar DOA estimation. Since this technology is only applicable to a uniform linear array, the received signal of MIMO radar is first subjected to reduced-dimension transformation to make it equivalent to a uniform linear array signal model. In order to reduce the computational complexity, the received signal is further subjected to singular value decomposition (SVD). Then use the ANM method to reconstruct the Toeplitz matrix of the model, and finally perform Vandermonde decomposition on the reconstructed Toeplitz matrix to estimate the target orientation. Compared with traditional subspace methods such as MUSIC, ESPRIT, etc. This method has higher resolution and can resolve coherent sources. The simulation results verify the excellent performance of this method.