The chi-square deception detection algorithm is widely applied in tight GNSS/INS integrated navigation system of deception detection, and there are many factors that can influence the effect of chi-square deception detection algorithm. Among them, INS accuracy directly affects INS positioning error and indirectly affects the state transition matrix and observation matrix of Kalman filter, so as to have an impact on deception detection algorithm. Therefore, the analysis of the impact of INS accuracy on deception detection algorithm helps user adjust appropriate parameters of deception detection algorithm based on INS precision. The simulation results show that the INS accuracy has a significant impact on the deception detection algorithm when the state propagation interval is long. Contrarily, the effect is not obvious in the short interval of state propagation. Thus, the effect of INS accuracy can be reduced by adjusting the extrapolation period of deception detection.
The paper proposes a new method of the turbo decoding algorithm with a low error floor based on source information redundancy. The method uses the information after frame synchronization and turbo decoding to make statistics of the occurrence probability of information symbols, which is used as the extrinsic information of the input component decoder. Simulation results show that the proposed method can further reduce the bit error rate compared with the traditional turbo decoding method, decrease the threshold value of error floor effectively and improve the decoding performance without increasing the consumption of additional hardware resources and computational complexity.
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