Abstract:

 A novel method for two-dimensional direction-of-arrival estimation and automatically paired is proposed in a sparse reconstruction framework. First, two-dimensional sparse linear model is built based on the cross-correlation matrix of the signals received by two uniform linear arrays. Then this two-dimension model is transformed into simultaneous sparse reconstruction model by means of some mathematical manipulations. Second, the later model is solved, and coarse estimations of elevation and azimuth are obtained and embedded in the two-dimensional sparse linear model. Consequently, the number of active atoms is reduced and the computational burden is decreased. Moreover, the number of signal sources resolved by this novel approach and the computational complexity are analyzed in theory. Finally, the excellent estimation accuracy of the method is demonstrated through a series of computer simulations.

Key words: Two-dimensional direction-of-arrival estimation, L-shaped array, Simultaneous sparse reconstruction, Estimation accuracy