Abstract:

In order to handle the low accuracy of the algorithm DCS-SOMP, two underdetermined wideband direction of arrival estimation methods with a high accuracy are proposed from the perspective of multiple iteration. First, the wideband signal processing model using the sparse array is established and transformed into a distributed compressive sensing problem through sparse representation. Then, the noises are eliminated through matrix transformation. After that, an algorithm utilizing proximity searching is proposed to improve the estimation accuracy and an algorithm based on the refined grid is proposed to compensate grid mismatch. Simulation results show that the proposed algorithms outperform the DCS-SOMP with a higher estimation accuracy and possess the advantage in computational speed.

Key words: direction of arrival, degrees of freedom, high accuracy, sparse array, wideband signal