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航空通信中多进制正交振幅调制(MQAM)信号的调制阶数较大时,主要选用平均似然比检验(ALRT)算法来完成信号的识别。提出了一种基于多天线分集接收技术的ALRT算法,在一定程度上改善了航空通信4种场景下MQAM信号的识别性能,通过仿真发现,滑行场景的调制识别性能改善更为明显,易受信噪比影响和信道衰落的16QAM信号的调制识别性能也大大改善,此外当信噪比超过10 dB,基于多天线分集接收的ALRT算法下MAQM信号的正确识别率基本上达到100%。
When the modulation order of multi-ary quadrature amplitude modulation (MQAM) signal in air traffic is large, the average likelihood ratio test (ALRT) algorithm is mainly used to accomplish signal recognition. An ALRT algorithm based on multi-antenna diversity reception technology is proposed to improve the recognition performance of MQAM signals in four scenarios of aeronautical communications to a certain extent. It is found through simulation that the modulation recognition performance of the taxiing scene is more obviously improved, In addition, when the signal to noise ratio exceeds 10 dB, the correct recognition rate of the MAQM signal based on ALRT with multi-antenna diversity reception basically reaches 100%.