To solve the large noise problem for the lowprecision gyroscopes in micro-electro mechanical systems (MEMS) of inertial navigation system, an improved noise reduction method, based on the analyses of the fast Fourier transformation (FFT) noise reduction principle and the simple wavelet noise reduction principle, was proposed. Furthermore, the FFT noise reduction method, the simple wavelet noise reduction method and the improved noise reduction method were comparatively analyzed and experimentally verified in the case of the constant rate and dynamic rate. The experimental analysis results showed that the improved noise reduction method had a very good result in the noise reduction of the gyroscope data at different frequencies, and its performance was superior to those of the FFT noise reduction method and the simple wavelet noise reduction method.

对伽利略卫星系统中E1信号的四种捕获算法: 自相关旁瓣消除方法(ASPecT)、filtered相关法、类二进制相移键控法(BPSKLike)和偏移正交BOC互相关法(OQCC)进行了详细理论分析。采集了真实的伽利略卫星E1信号进行捕获算法的仿真分析, 并从基本捕获结果、计算复杂度、相关主峰均值比和检测性能等方面进行了对比分析。仿真结果表明OQCC相关法和其他算法相比, 性能更优异, 能更有效地提高主峰值与去除副峰。所以OQCC相关法更适合推广, 具有更高的实用价值。