A Parallel Burst Signal Detection System Based on Multiple Sampling in Burst Demodulation

Abstract

The invention discloses a parallel burst signal detection system based on multiple sampling in burst demodulation, which includes an I-way and a Q-way buffer module, an N-way sample point data complex conversion module, and an N-way complex sample point data differential multiplication module , N-way M bit shift register, N-way correlation accumulation module and optimal decision module; the present invention first stores each N-way sampling point data of input I-way sampling signal and Q-way sampling signal, and then reads N-way sample point data respectively Perform complex differential multiplication operation on the front and back symbol data, and store the real part data in the obtained N-way complex signal into the M-bit shift register. Correlation and accumulation are carried out on the difference sequence of the burst preamble symbol to obtain the correlation value of N channels, and the capture output based on the best sampling point is calculated by the best sampling discrimination module. The invention solves the problem of capturing the best sampling point for the random multi-channel sampling signal with no precise symbol synchronization and frequency deviation.

Description

technical field [0001] The invention discloses a parallel burst signal detection system based on multiple sampling in burst demodulation, which is widely used in communication systems such as broadband satellite communication, deep space communication, and mobile communication, and belongs to MF-TDMA / TDM communication System burst demodulation technology field. Background technique [0002] With the development of satellite communication technology, the satellite communication system is developing in the direction of large bandwidth, large capacity, high speed, and flexible processing on the satellite. The traditional FDMA / TDM communication system can no longer meet the development needs of satellite communication, but the MF-TDMA / TDM communication system can well adapt to this development trend. In the MF-TDMA / TDM communication system burst communication, the detection of the burst preamble signal is the basis for the subsequent demodulation and synchronization of the burs...

AI Technical Summary

Problems solved by technology

However, there are also some problems in this case, because in the case of burst communication, there is a burst interval between burst frames, so that part of the noise and effective data may be lost when the symbol synchronization error is estimated. The error estimation operation is performed together, resulting in the estimated symbol synchronization error is not the most ideal estimated value, so the optimal effect cannot be achieved

At present, more and more studies mainly use the strong autocorrelation performance of the burst preamble sequence to detect the burst signal in the preamble without accurate symbol synchronization. Finding capture performance close to the optimal sampling point and solving problems such as system residual frequency offset will directly affect the burst capture performance under low signal-to-noise ratio conditions

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