Optimization and Improvement of the Spreading Sequence in Multi-user Shared Access System
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摘要: 多用户共享接入是一种非正交多址接入技术,由于采用了复数域扩频技术,其性能必然受到扩展序列的影响,因此需要对扩展序列进行优选和改进。针对现有序列优选算法在进行互相关优选时只考虑了互相关峰值的影响,该文提出一种改进的序列优选算法,该优选算法同时考虑了互相关峰值和互相关均方值的影响,仿真分析表明,系统使用该文提出的优选算法比使用现有的优选算法优选出的序列在相同BER时,可以改善0.9 dB左右的SNR性能。此外,扩展序列的随机选取会导致序列发生碰撞,为降低碰撞概率,该文利用星座图的增益指数特性,提出一类改进的复扩展序列。该文提出的改进复序列比MUSA使用的三元复序列具有更高的星座图增益指数,经过优选后,可以优选出数量更多的优良序列,在相同BER下与优选后的三元复序列相比,可以改善1 dB左右的性能,在BER为10-13时,用户过载率可以提高15%左右,进一步改善系统性能。Abstract: Multi-User Shared Access (MUSA) is a non-orthogonal multiple access technology, and its performance will be affected by the spreading sequence due to the usage of complex domain spread spectrum technology, so the spreading sequences should be optimized and improved. Considering the problem that only the influence of cross-correlation peak is taken into account in the process of cross-correlation optimization in the existing optimization algorithm, an improved spreading sequence optimization algorithm is proposed. Both the influences of cross-correlation peak and the cross-correlation mean square are taken into consideration. The simulation results show that the proposed algorithm can promote 0.9 dB SNR performance in the same BER than the existing algorithm. In addition, the random selection of the spreading sequences will lead to the collision of the sequence. In order to reduce the collision probability, a set of improved complex spreading sequences based on constellation figure of merit is proposed. The proposed complex sequence has a higher constellation figure of merit than the triple-level complex spreading sequence. Additionally, more excellent spreading sequences can be obtained after optimization, and when compared with the optimized triple-level complex spreading sequence, the SNR performance can promote about 1 dB in the same BER and the user overloading ratio can improve 15% when BER is 10-13, which can further promote the performance of MUSA system.
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