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针对动态环境下存在随机波动变化的多普勒频移和载波相位偏差,提出了一种基于数据辅助的稳健信噪比估计算法,该算法利用数据辅助,对接收信号进行延迟共轭相乘,将多普勒频移转变成固定的相位因子,从时域上克服了相偏和多普勒频移的影响.同时进一步分析了新算法噪声项的影响.仿真结果表明,与基于谱分析算法相比,新算法具有更好的性能,尤其在低信噪比的条件下能保持更高的估计精度,且计算量很小.
Aiming at the Doppler shift and carrier phase deviation of random fluctuation in dynamic environment, a robust signal-to-noise ratio estimation algorithm based on data aiding is proposed. This algorithm uses data aiding to delay and conjugate multiply the received signal, The Doppler shift is transformed into a fixed phase factor, which overcomes the effect of phase shift and Doppler shift in the time domain. At the same time, the influence of the noise term of the new algorithm is further analyzed. The simulation results show that, Compared with the new algorithm, the new algorithm has better performance, especially under low signal-to-noise ratio (SNR) conditions, which can maintain higher estimation accuracy and reduce the computational complexity.