Laplace Distribution Based DOA Estimation

The direction of arrival (DOA) estimation is a key problem in microphone array signal processing. The conventional DOA estimation methods usually are operated in time-frequency domain based on the steering vector, which often needs to make a balance between the time and frequency resolutions. In this paper, a Laplace distribution based DOA estimation method is proposed by using Maximum a Posterior only in time domain. In this method, a new posterior probability model for speech source is deduced through the Laplace prior distribution, which can modify the peak of posterior probability function and improve the resolution of DOA estimation. The experimental results show that the proposed method can effectively reduce the error of DOA estimation compared with the conventional methods.