Abstract:

A sparse multipath channel estimation method based on compressed sensing (CS) is proposed. A simplified Toeplitz structured measurement matrix is designed using the training sequence. It is proved that the measurement matrix satisfies the restricted isometric property (RIP), which can be utilized as a measurement matrix of CS. Then, the normalized iterative hard thresholding (NIHT) algorithm is simplified by exploiting the approximate orthogonality feature of the matrix, as well the elite strategy (ES) is introduced to propose an archivingbased normalized iterative hard thresholding (ANIHT) estimation algorithm. Simulation results show that the proposed channel estimation method achieves a better performance than the traditional recursive least square (RLS) algorithm and the proposed ANIHT algorithm has the merits of high convergence speed and good stability.