The spatial spectrum estimation based on compressive sensing

The traditional major spatial spectrum estimation method is based on the multiple signal classification (MUSIC) algorithm, which estimated signal source number is limited to the array element number and need large sampling data size. According to the compressive sensing basis theory and using the sparse distribution of the spatial signal source bearing, this paper constructs the spatial spectrum estimation model of the array signal processing based on compressive sensing theory. Utilizing compressive sensing method, the spatial signal can be sampled by little array elements, so with small sampling data, the signal amplitude and bearing can be estimated simultaneously. The method presented in this paper promots the application of compressive sensing in the array signal spatial spectrum estimation.