摘要
为了提高信源三角定位的定位精度和噪声鲁棒性,采用群时延(group delay)函数和分布式阵列,提出一种高精度的三角定位算法。通过group delay函数的负差分形式与传统MUSIC空间谱的乘积消除无关伪峰,得到高精度DOA估计,然后根据三角定位方程和阵列模型得到精确信源位置估计,再利用分布式阵列的阵列孔径大、对内部子阵位置变化不敏感等特性,提高三角定位算法对噪声的鲁棒性。实验结果表明,该算法是一种精度高、鲁棒性强的信源三角定位算法。
In order to enhance the positional accuracy and noise robustness of source triangle location, a high accuracy triangle location algorithm is proposed based on group delay function and distributed array. Firstly traditional MUSIC spatial spectrum is multiplied by the negative differential form of group delay function to eliminate irrelevant pseudo peaks for high accuracy DOA estimation. Then accurate source location estimation is obtained in the help of triangle location equations and array models. And the noise robustness of triangle location algorithm is enhanced in advantage of the distributed array with the features of large array apertures and no sensitivity to internal subarray position. The experimental result indicates that the algorithm is a kind of high precision, strong robustness source triangle location algorithm.
出处
《桂林电子科技大学学报》
2015年第6期431-436,共6页
Journal of Guilin University of Electronic Technology
基金
国家自然科学基金(61461012)
广西无线宽带通信与信号处理重点实验室主任基金(GXKL0614106)
桂林电子科技大学研究生教育创新计划(GDYCSZ201455)
