采用伪噪声重采样的海事卫星上行信号的检测与定向
收稿日期: 2016-01-07
网络出版日期: 2017-12-30
基金资助
国家自然科学基金资助项目(61132003, 61571282)
Detection and orientation for Inmarsat satellite uplink signal based on pseudo-noise resampling
Received date: 2016-01-07
Online published: 2017-12-30
在均匀圆形阵列(uniform circular array, UCA)上采用伪噪声重采样(pseudo-noise resampling, PR), 利用ROOT-MUSIC算法对海事卫星上行信号进行测向. 为了提高低信噪比(signal noise ratio, SNR)下的预测精度, 在传统伪噪声重采样的基础上利用统计均值与标准差提出了新的先验条件, 并比较了不同的统计数据形成的先验条件对系统性能的影响. 仿真结果表明, 低信噪比下本方法比常规圆形阵列上的ROOT-MUSIC算法在检测性能上有较大提高.
关键词： ROOT-MUSIC; 测向; 海事卫星; 均匀圆形阵列; 伪噪声重采样
王佳栋1,2,3 王晓江1,2,3, 牛丽莹1,2,3, 郑国莘1,2,3 . 采用伪噪声重采样的海事卫星上行信号的检测与定向[J]. 上海大学学报(自然科学版), 2017 , 23(6) : 865 . DOI: 10.12066/j.issn.1007-2861.1752
Pseudo-noise resampling (PR) is applied to uniform circular array (UCA) to find the direction of arrival (DOA) of Inmarsat satellite uplink signal based on ROOTMUSIC. To improve the DOA resolution at low SNR, a new estimation algorithm is proposed based on means and standard deviations of pre-estimate. Meanwhile, performance computations are carried out under different pre-estimation conditions due to different statistical data. Simulations show that the proposed scheme can significantly improve the DOA resolution at low signal noise ratio (SNR) compared with the conventional ROOTMUSIC algorithm.
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