弱GPS信号的捕获算法是高灵敏度GPS接收机的关键技术,首先介绍了传统的GPS捕获原理,在此基础上,参考小波分解对GPS捕获信号进行降噪处理的方法,并结合LMS谱预测降噪法,提出了LMS谱预测和小波分解混合弱GPS信号捕获算法。考虑到小波分解和LMS谱预测的降噪原理不同,对3种方法对GPS捕获信号的降噪效果进行了仿真和对比。仿真实验结果表明本文所提出的降噪算法与仅用小波分解和LMS谱预测相比最大输出信噪比分别提高4.29dB和2.93dB。有效地提升了GPS捕获信号的信噪比和接收机的灵敏度。
How to acquire weak GPS signal is a hot topic. This paper focuses on solving this problem. First of all, the paper reviews the traditional GPS signal acquisition method and principal. In addition, author refers to wavelet decomposition method and LMS frequency spectrum prediction and proposes a novel algorithm named LMS Frequency and Wavelet Decomposition Combined Algorithm of Weak GPS Signal Acquisition. Since the principal of wavelet decomposition and LMS frequency spectrum prediction are different, this paper compares the results of wavelet decomposition, LMS frequency spectrum prediction and proposed algorithm. After comparison, the proposed algorithm has the best result. The SNR of proposed algorithm is higher than that of wavelet decomposition and LMS algorithm 4.29 dB and 2.93 dB respectively. This result illustrates that algorithm proposed in this paper can prompt SNR of GPS acquisition signal so as to improve the sensitivity of GPS receiver.