一种利用小波降噪的卫星导航信号并行捕获算法

针对全球定位系统（Global Positioning System,GPS）接收机传统捕获算法计算复杂度高、捕获灵敏度低等缺点，提出了一种可降噪的简化并行码相位捕获（Noise Reduction for Simplified Parallel Code Phase Acquisition,NR-SPCA）算法。该算法通过对信号降采样，利用小波变换对二次采样信号作降噪处理，提高了捕获灵敏度；利用GPS信号和C/A码互相关的稀疏性，并行计算降噪后的信号的相关值，提高了运算效率。仿真结果表明，在90%概率捕获成功的前提下，NR-SPCA算法比传统的PCA算法信噪比低1 dB，运算效率提升了100%。该算法还可应用于航天探测、自动驾驶等领域。

A parallel acquisition algorithm of satellite navigation signal using wavelet denoising

For the disadvantages of high computational complexity and low acquisition sensitivity of traditional acquisition algorithms for Global Positioning System(GPS) receiver,a Noise Reduction for Simplified Parallel Code Phase Acquisition(NR-SPCA) algorithm is proposed.The algorithm improves the acquisition sensitivity by downsampling the signal and denoising the secondary sampled signal by wavelet transform,and improves the operation efficiency by calculating the correlation value of the denoise signal in parallel by using the sparsity of the cross-correlation between GPS signal and C/A code.As the simulation results show,the signal-to-noise ratio(SNR) of NR-SPCA algorithm is 1 dB lower than that of the traditional PCA algorithm,and the computational efficiency is improved by 100% under the premise of 90% successful acquisition.