随机共振算法在北斗微弱信号捕获中的应用

Application of Stochastic Resonance Algorithm in the Weak BeiDou Signal Acquisition

  • 摘要: 为了提高北斗二代卫星接收机的捕获灵敏度,提出了一种基于自适应随机共振算法的微弱北斗信号捕获方法。将DBZP(Double Block Zero Padding)方法和自适应随机共振算法相结合,消除了导航数据位和NH码跳变的影响,显著提高了信噪比,能够实现微弱北斗信号的高灵敏度快速捕获。仿真结果验证和实际测试表明,该方法应用于微弱环境下的北斗信号捕获实时性好、灵敏度高,具有较高的应用价值。

     

    Abstract: Aiming at the acquisition problem brought by NH code in the signal of BD2 which leads to sensitivity reduction problem by traditional acquisition methods, this paper presents a weak BD2 signal acquisition method based on adaptive stochastic resonance algorithm. By combining the DBZP method with adaptive stochastic resonance algorithm, the method can eliminate the data hopping and NH hopping, and significantly improve the signal-to-noise ratio. The method can be adopted to achieve the fast signal acquisition with high sensitivity characteristic. The simulation and test results verify that, this method provides stronger capacity of acquainting BD2 signal, has more advantages in real-time, high sensitivity and has a higher application value.

     

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