| 摘要: |
| 利用Laurent分解方法可以将GMSK（Gaussian Filtered Minimum Shift Keying）信号表示成一系列脉冲幅度调制（Pulse Amplitude Modulation,PAM）信号之和的特性，对基于Laurent分解的GMSK信号次优化相干检测技术进行改进，多加入了一个PAM波形，调整了维特比检测分支度量的计算方法，并在不同相位关联长度下仿真分析了GMSK信号最优化、次优化和改进相干检测算法的误码率性能及实现复杂度。结果表明，与次优化检测算法相比，所提算法在不明显增加解调模块复杂度的情况下提高了解调误码性能。 |
| 关键词: GMSK调制 Laurent分解 最优化相干检测 次优化相干检测 |
| DOI： |
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| 基金项目:试验技术研究项目资助课题(1700050400) |
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| An Improved GMSK Coherent Demodulation Method |
| TENG Fei,LI Yuntao,LIAO Yurong |
| (Graduate School,Space Engineering University,Beijing 101416,China;Department of Electronics and Optical Engineering,Space Engineering University,Beijing 101416,China) |
| Abstract: |
| By using the Laurent decomposition method,the Gaussian filtered minimum shift keying（GMSK）signal can be expressed as the sum of a series of pulse amplitude modulation pulse amplitude modulation(PAM) signals.The GMSK signal suboptimal coherent detection technology based on Laurent decomposition is improved.A PAM waveform is added and the calculation method of the Viterbi detection branch metric is adjusted.Under different phase correlation lengths,the bit error rate(BER) performance and implementation complexity of GMSK signal optimization,suboptimization and improved coherent detection algorithms are simulated.The results show that compared with the suboptimal detection algorithm,the proposed algorithm improves the demodulation error performance without increasing the complexity of the demodulation module. |
| Key words: GMSK modulation Laurent decomposition optimized coherent detection suboptimal coherent detection |
