HFSWR Polarization DOA Estimation Based on Quaternion

Abstract

This paper examines the direction of arrival (DOA) estimation for polarized signals impinging on a vector sensor array for high frequency surface wave radar (HFSWR). The vector array effectively utilizes the polarization domain information of incident signals, and the quaternion model is adopted for signals polarization characteristic maintenance and computational burden reduction. The quaternion data model based on vector uniform linear array (ULA) is established. Based on the model, a quaternion MUSIC algorithm based on HFSWR signal processing is proposed for HFSWR DOA estimation. The algorithm combines the HFSWR signal processing and vector ULA to enhance the DOA estimation performance. Analytical simulations are operated to certify the capability of the algorithm.