一种基于随机共振的微弱GNSS信号采集算法

Tao Lu, Yubai Li, Fei Wang, Lei Mao, Jun Pan
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引用次数: 1

摘要

全球导航卫星系统(GNSS)微弱信号的采集一直是高灵敏度卫星导航接收机的难题。针对这一问题,提出了一种基于随机共振的GNSS信号采集算法。已有研究表明,SR技术为微弱信号的检测提供了新的视角,可以应用于GNSS信号。该方法首先采用频率补偿和相干滤波来提高信号功率。其次,采用延迟乘法算法获取伪随机码;因此,可以对GNSS信号进行处理,得到周期信号。最后,通过二次采样和自适应处理得到多普勒频移。在此过程中,解决了SR采集稳定性和适应性差的问题。仿真结果验证了该方法的有效性。仿真结果表明,该算法可以有效地完成低信噪比条件下的GNSS信号采集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Weak GNSS Signal Acquisition Algorithm: Based on Stochastic Resonance
Acquisition of weak global navigation satellite system (GNSS) signals has been a difficult problem in high sensitivity satellite navigation receivers. Aiming at the problem,a GNSS signal acquisition algorithm based on stochastic resonance(SR) is proposed. A previous study has shown that SR technique provides a new perspective to detect weak signals and it can be applied to GNSS signals.Firstly, the method uses frequency compensation and coherent filtering to increase signal power. Secondly, the delay and multiplication algorithm is used to acquire pseudo-random(PRN) code. Therefore, GNSS signal can be processed to get periodic signal. Finally, the Doppler frequency shift can be obtained by twice sampling and adaptive processing. In this process, the problem of poor stability and adaptability of SR acquisition is solved. The effectiveness of our proposed method was verified by the simulations. The simulation results indicate that the new algorithm based on SR can effectively complete GNSS signal acquisition in low signal to noise rate(SNR) conditions.
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