Step weighted Tong detection method

Abstract

The present invention discloses a step weighted Tong detection method. The method can perform dynamic weighted adjustment on a step value of the Tong detector according to signal quality (signal-to-noise ratio), can take into account both performance and efficiency of the algorithm, and can be applied to complex and variable scenarios. The Tong detector performs self-adaptive adjustment on counterstep value according to signal energy envelope size, performs real-time feedback on counter execution accumulation or rollback operation, can flexibly adjust according to scenarios or signal state without changing Tong detector parameters, does not increase calculation amount, and can optimize detector working mode; the method increases step weight in the case of a great disparity between the signal and the noise, effectively shortens detection dwell time and improves detection efficiency; the method aims at weak signals that are difficult to detect, through weak difference weighting, can reduce the detector step weight, increase detection confirmation times, improve weak signal detection performance, and improve signal detection accuracy and reliability.

Description

technical field [0001] The invention belongs to the technical field of communication, relates to a satellite navigation signal synchronous reception technology, in particular to a fast and high-performance step-weighted Tong detection method for navigation signals. Background technique [0002] As the interface device between the Global Navigation Satellite System (GNSS) and the user end, the navigation receiver mainly completes user positioning, navigation and timing functions. The receiver design first implements signal capture, integrates / clears each unit in the two-dimensional space of time domain and frequency domain, and performs judgment detection based on energy packets to determine whether the desired signal exists and the signal parameters (Doppler frequency shift and pseudo-random code phase) rough estimate. [0003] In order to ensure the accuracy and reliability of detection and estimation in the capture link, multiple dwell detection algorithms are usually use...

AI Technical Summary

Problems solved by technology

[0004] However, the receiver moves with the user in complex scenarios, resulting in fluctuations in the energy of available navigation signals

The parameters of the traditional Tong detector are fixed. In the face of complex scene signal detection and judgment, it is necessary to face the trade-off between detection performance and detection time. It is difficult to balance the efficiency in the strong signal detection state and the performance in the weak signal detection state. Change scene application

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