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极小BT参数下的GMSK信号解调面临着严重的码间串扰,最大似然序列检测(MLSE)算法的复杂度高,不适应于工程实践。给出了两种基于Laurent分解的低复杂度相干解调算法,即Wiener均衡器级联类OQPSK解调和减状态数Viterbi检测,均可以有效的克服码间串扰。仿真结果表明,相比MLSE检测,BT=0.3时,上述两种低复杂度解调算法的信噪比损失均小于0.5 dB;BT=0.15时,减状态数Viterbi检测算法的信噪比损失小于0.5 dB,而类OQPSK解调算法的信噪比损失大于2 dB。
GMSK signal demodulation under extremely small BT parameters faces severe crosstalk between codes. The MLSE algorithm has high complexity and is not suitable for engineering practice. Two kinds of low complexity coherent demodulation algorithms based on Laurent decomposition are given, that is, the cascaded Wiener equalizer OQPSK demodulation and the reduced state number Viterbi detection can both effectively overcome the intersymbol interference. The simulation results show that compared with the MLSE detection, the SNR loss of the two low-complexity demodulation algorithms is less than 0.5 dB when BT = 0.3. The SNR loss of the reduced-state Viterbi detection algorithm is less than 0.5 dB, while the OQPSK demodulation algorithm has a signal-to-noise ratio loss of more than 2 dB.