Tracking of Moving Sources in a Reverberant Environment Using Evolutionary Algorithms

Abstract

This paper describes a source tracking technique in a reverberant environment using a new combination of an adaptive species-based particle swarm optimization (ASPSO) algorithm and a multisignal classification (MUSIC) algorithm. To mitigate the effects of reverberation, an insightful dereverberation method based on an online autoregressive (AR) array and a minimum variance distortionless response (MVDR) beamformer is developed to dereverberate the microphone signal prior to direction of arrival (DOA) estimation using MUSIC. On the basis of several evolutionary schemes, ASPSO enables rapid tracking by finding local maxima in the MUSIC pseudospectrum. In the ASPSO algorithm, particles are divided into different species, where each species is associated with a sound source. As the sound source moves, the DOA information is dynamically updated using ASPSO, in which the inertia weight decreases progressively to prevent premature convergence. Two update rules for adapting the filter coefficients are employed for drastically moving sources. Simulations and experiments are conducted using a circular microphone array to validate the proposed ASPSO with AR (ASPSO-AR) algorithm. The results demonstrate that ASPSO-AR requires one-third of the processing time of the grid search (GS) method. In addition, the root-mean-square error (RMSE) of the ASPSO-AR algorithm is 10° less than that of the GS method.

Multitarget direction of arrival trajectory estimation using BiLSTM and sequential allocation

“…Multitarget direction of arrival (DoA) estimation and tracking in the presence of interference and noise is one of the important research areas of array signal processing. 1,2 It has numerous applications such as air traffic control (ATC), 3 automatic vehicle path tracking in the wireless sensor network (WSN) for the unattended ground sensors (UGS), 4 automatic camera steering in a conference room, 5 DoA trajectory estimation of incoming missiles in tactical defense operations 6 and DoA-based beamforming at the base station of multiuser massive MIMO systems. 7,8 In most of the above-mentioned applications, the time-varying DoA estimation problems have attracted the interest of many researchers in the past decades.…”