一种基于时域滤波的BOC无模糊捕获算法设计

针对二进制偏移载波(BOC)信号进行相关运算时存在多峰的特殊性，设计了一种基于时域滤波的BOC无模糊捕获算法。通过频域分析得到时域滤波器的频率响应，再反推出时域滤波器的系数，构建有限脉冲响应(FIR)滤波器。对不同算法进行仿真，结果证明该时域滤波器能很好地消除BOC信号自相关副峰。降低滤波器阶数，并设计可实现的基于时域滤波和多段匹配滤波器(MMF)－傅里叶变化(FFT)的BOC无模糊捕获算法，仿真分析表明该算法能很好地消除副峰，正确捕获信号。

An unambiguous acquisition algorithm of BOC signal based on time-domain filter

Due to the multi-peak of Binary Offset Carrier(BOC) autocorrelation function, an unambiguous acquisition algorithm of BOC signal based on time-domain filter is designed. The frequency response of the time-domain filter is obtained, then the filter coefficients are deduced to construct a Finite Impulse Response(FIR) filter. The simulation of different algorithms shows that the time domain filter can completely eliminate the side peaks of BOC autocorrelation. The filter order is reduced and an achievable unambiguous acquisition algorithm of BOC signal based on time-domain filter and Multi-bank Matched Filter(MMF)-Fourier Transform(FFT) is designed. The simulation analysis shows that the algorithm can eliminate side peaks and capture the signal correctly.