Polarization quaternion DOA estimation based on vector MISC array

• 作者: SHAO Shuai LIU Aijun YU Changjun ZHAO Quanrui
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2021,（4）
• 所属期刊栏目: SENSOR ARRAY SIGNAL PROCESSING AND ITS APPLICATIONS IN 5G/6G
• 页码范围: 764-778
• 页数: 15页
• 语种: 英文
• DOI: 10.23919/JSEE.2021.000066

摘要

This paper examines the direction of arrival (DOA) es-timation for polarized signals impinging on a sparse vector sensor array which is based on the maximum interelement spa-cing constraint (MISC). The vector array effectively utilizes the polarization domain information of incident signals, and the qua-ternion model is adopted for signals polarization characteristic maintenance and computational burden reduction. The features of MISC arrays are crucial to the mutual coupling effects reduc-tion and higher degrees of freedom (DOFs). The quaternion data model based on vector MISC arrays is established, which ex-tends the scalar MISC array into the vector MISC array. Based on the model, a quaternion multiple signal classification (MUSIC) algorithm based on vector MISC arrays is proposed for DOA es-timation. The algorithm combines the advantages of the qua-ternion model and the vector MISC array to enhance the DOA estimation performance. Analytical simulations are performed to certify the capability of the algorithm.