低信噪比大動態(tài)下的同步技術(shù)研究
[Abstract]:In the face of the complex communication environment of deep space exploration, how to realize signal synchronization under the bad communication conditions of low signal-to-noise ratio and large dynamic is a difficult problem for deep space communication. Under the condition of low signal-to-noise ratio (SNR), it is difficult to realize fast demodulation processing because of the need to resynchronize each communication link reconstruction, and to estimate several unknown demodulation parameters, but it is difficult to realize fast demodulation processing under low SNR. However, the large dynamic state of motion makes the synchronization error parameters change sharply in a short time, and it is more difficult to estimate. It can be said that these two communication conditions have harsh requirements for synchronization technology, and the contradictory effect of both communication environments makes the implementation of synchronization technology more difficult. It is possible to improve the performance of synchronization system in low SNR environment by using efficient coding method. The synchronization technology based on decoding is the development direction of synchronization technology in the future. In this paper, taking deep space exploration as the application background, taking the Mars landing process in deep space communication as the concrete application example, choosing the decoding assisted synchronization technology as the basic realization mode, the synchronization process of the received signal under the low SNR and large dynamic condition is studied. By analyzing the requirements of low signal-to-noise ratio (SNR), large dynamic applications and their influence on received signals, the synchronization process is divided into three parts: carrier synchronization, timing synchronization and frame synchronization. In the carrier synchronization part, in order to realize the large dynamic synchronization range, the carrier synchronization is divided into two parts: coarse synchronization and fine synchronization. Aiming at the characteristics of low SNR and large dynamic range in coarse synchronization stage, an improved shift average period diagram method in frequency domain is proposed, and a quadratic estimation process is designed to realize carrier coarse synchronization under preset conditions. In this paper, the carrier fine synchronization with low signal-to-noise ratio (SNR) is realized by using the decode-assisted Kostas loop method. In the part of timing synchronization, in order to realize the range of timing synchronization in the whole sampling period, this paper combines the coarse and iterative timing synchronization scheme. First, the timing deviation is reduced to half a symbol period by using the idea of partition search, and then the residual timing deviation is carefully estimated by decoding assisted iterative timing synchronization algorithm. In the part of frame synchronization, this paper enumerates two kinds of code-aided frame synchronization algorithms, and compares their synchronization performance by simulation and calculation. Finally, the hard decision frame synchronization algorithm is chosen as the realization algorithm of frame synchronization. The simulation results show that each part of the algorithm can reach the expected target, and the BER performance of the system is not higher than 103U when the bit SNR is not lower than 2dB.
【學位授予單位】:中國科學院國家空間科學中心
【學位級別】:博士
【學位授予年份】:2016
【分類號】:TN919.34
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