【作者】 檀转霞； 张龙； 鲍明； 许耀华； 叶中付；

【Author】 TAN Zhuan-xia;ZHANG Long;BAO Ming;XU Yao-hua;YE Zhong-fu;Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University;Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Science;Electronic engineering and information sciences, University of Science and Technology of China;

【机构】 安徽大学计算智能与信号处理教育部重点实验室； 中国科学院声学研究所噪声与振动重点实验室； 中国科技大学电子工程与信息科学系；

【摘要】 针对均匀微小孔径圆型阵列的宽带Do A估计信噪比低、分辨率低、多源估计不准确等问题,提出宽带信号平滑算法,其利用均匀圆阵的对称性,构造具有Hermitian对称特性的接收数据协方差矩阵,改进了微小孔径条件下的圆阵测向性能。蒙特卡罗仿真实验表明,该算法的Do A估计性能较传统的MUSIC算法更接近CRB界,证明该算法可以提高双源Do A估计在低信噪比和多源角度间距较小时的估计性能。上述结论在半消声室实验中得到了验证。更多还原

【Abstract】 The bandwidth Do A estimation based on an uniform circular micro-array has some defects such as low SNR, low resolution, and inaccurate multi-source estimate. In this paper, we present a wideband signal smoothing based Do A estimation method, it adopts a symmetrical uniform circular array to design a symmetrical covariance Hermitian matrix of received data, and this method improved the Do A performance of the circular micro-array. Monte Carlo simulation experiments show that the proposed algorithm obtains the Do A estimation accuracy more closely to the Cramer-Rao Bound compared with the traditional MUSIC algorithm, and has superior performance for two source Do A estimation when in low SNR and small angle separation. The above conclusions have also been proved in semi-anechoic chamber experiments.更多还原