A PSO Based Array Shape Calibration Utilizing Cyclostationarity

Cyclic MUSIC is a high-resolution direction finding method that utilizes the cyclostationarity property of man-made signals to suppress noises and interferences with undesired cyclic frequency. However, its performance of direction finding can be severely degraded by sensor position errors of the sensor array. In this paper, a PSO based array shape calibration algorithm is proposed to alleviate this problem. By minimizing the norm of the projection of the steering vector (in the direction of a known cyclostationarity source) to the noise subspace, this technique can give an optimal estimation of the sensor position errors. The simulation results show that the proposed method has high accuracy of array shape calibration.