DOA Estimation of Coherent Sources Using QPSO in WSN

Here we formulate the problem of direction of arrival (DOA) estimation of correlated sources when single snapshot is available in wireless sensor network (WSN). A computationally inexpensive fitness function is used instead of maximum likelihood for DOA estimation of correlated signals. In order to achieve faster convergence, the quantum particle swarm optimization (QPSO) algorithm is proposed to optimize the cost function. The performance of QPSO is analyzed and compared with particle swarm optimization (PSO). Simulation results indicate that the QPSO algorithm provides better estimation accuracy and faster convergence rate compared to PSO algorithm.