摘要
提出了一种抑制信号干扰的波束形成算法.利用GNSS信号中扩频序列的强自相关性在信号捕获后,采用GNSS信号多个周期的相关峰值估计相关值中的信号协方差矩阵,使用相关前、后的协方差矩阵在最大化输出信噪比准则下得到最优权.所提算法处理时无需GNSS信号和干扰方向的先验知识.仿真与实测结果表明:与功率倒置方法和Spectral Self-Coherence Restoral(SCORE)算法相比,经所提算法处理后的GNSS信号信干噪比获得明显提高.
A novel interference suppression algorithm for Global Navigation Sattel- lite System（GNSS） signal is proposed in this paper. The spreading codes in GNSS signal exhibit strong self-coherence and the correlation matrix of the GNSS signal can be estimated using several peaks of correlation values of received signal and ref- erence signal. The optimum weight is obtained under the maximum Signal to inter- ference plus noise ratio （SINR） criterion using the covariance matrix of pre- correlation and post-correlation signal. No priori knowledge of the directions of GNSS signals is needed for the algorithm. Simulations and experiments demonstrate that, compared with the power inversion method and spectral self-coherent restoral SCORE algorithm, the proposed algorithm can provide a similar performance of inference suppression, but the output SINR is significantly increased.
出处
《电波科学学报》
EI
CSCD
北大核心
2013年第5期821-828,共8页
Chinese Journal of Radio Science
基金
长江学者和创新团队发展计划(IRT0954)
国家自然科学基金(61231017
61101243)
