一种改进的DSSS信号伪码周期估计方法分析

Proceedings of the 2nd International Conference on Intelligent Information Processing Pub Date : 2017-07-17 DOI:10.1145/3144789.3144800

Feng Chuan, Sui Tao, Zhou Fan

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引用次数: 0

摘要

估计DSSS信号在低信噪比条件下是困难的。本文提出了一种改进的DSSS信号伪码周期估计方法。它是在深入分析时域自相关估计方法的基础上提出的。该方法首先采用平均法对DSSS信号进行分组，然后与时域自相关估计方法相结合。它降低了噪声对估计性能的影响，提高了信噪比极限。仿真结果表明，当信噪比为-15dB时，可以实现伪码周期的有效估计。与倒谱相比，提高了7dB。

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Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals

The DSSS signals are estimated to be difficult under low SNR conditions. In this paper, an improved DSSS signal pseudo-code period estimation method is proposed. It is based on the in-depth analysis of time domain autocorrelation estimation method. In this method, the DSSS signals are grouped by the averaging method, and then combined with the time domain autocorrelation estimation method. It reduces the influence of noise on the estimated performance and improve the SNR limit. The simulation results show that the effective estimation of the pseudo-code period is realized when the SNR is -15dB. Compared withthe cepstrum, it improves 7dB.

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Proceedings of the 2nd International Conference on Intelligent Information Processing

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