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基于STBC编码的MIMO-CE-S16PSK-OFDM-LFM雷达通信一体化波形设计

MIMO-CE-S16PSK-OFDM-LFM Radar and Communication Integrated Waveform Design Based on STBC Coding
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摘要 在实际环境中,为满足实战化对海量通信数据传输以及天线向量的正交分离的需求,利用多输入多输出(Multi-Input-Multi-Output,MIMO)技术有效突破单天线下香农定理对信道容量的限制,在Alamouti-STBC编码技术和恒包络S16PSK-LFM雷达通信一体化信号的基础上,研究设计了基于STBC编码的恒包络MIMO-CE-S16PSK-OFDM-LFM雷达通信一体化信号,并对其进行了简要的介绍,提出了MIMO技术下的香农定理。对恒包络MIMO-CE-S16PSK-OFDM-LFM雷达通信一体化信号进行了通信信道容量和误码率以及雷达模糊函数的仿真,发现Alamouti-STBC编码技术和MIMO技术可以有效地大幅度增加信道容量,进而提升通信的传输速度并降低误码率。但是在模糊函数性能上,Alamouti-STBC编码技术会略微降低雷达的分辨率。随着MIMO收发天线数量的增加,通信传输的误码率呈下降趋势,但却不完全是线性的。 In actual environment,in order to meet the actual combat requirement for massive communication data transmission and the orthogonal separation of antenna vectors,MIMO technology is used to effectively break through the constraint of Shannon’s theorem on the channel capacity of single antenna,and based on the Alamouti-STBC coding technology and the constant-envelope S16PSK-LFM radar communication integrated signal,the constant-envelope MIMO-CE-S16PSK-OFDM-LFM radar communication integrated signal is designed and briefly introduced.The Shannon’s theorem under MIMO technology is proposed.The communication channel capacity,bit error rate and radar ambiguity function of the constant envelope MIMO-CE-S16PSK-OFDM-LFM radar communication integrated signal are simulated,and it is found that the Alamouti-STBC coding technology and MIMO technology can increase the channel capacity effectively and significantly,so the transmission rate of communication is improved and the bit error rate reduced.However,in terms of ambiguity function performance,the Alamouti-STBC coding technology will slightly lower the radar’s resolution.As the number of MIMO transceiver antennas increases,the bit error rate of communication transmission shows a downward trend,but it is not completely linear.
作者 马启成 卢建斌 MA Qicheng;LU Jianbin(College of Electronic Engineering,Naval University of Engineering,Wuhan 430032,China)
出处 《无线电工程》 北大核心 2022年第3期358-367,共10页 Radio Engineering
基金 国家自然科学基金(61501486)。
关键词 STBC编码 MIMO-CE-S16PSK-OFDM-LFM 模糊函数 误码率 信道容量 恒包络 STBC coding MIMO-CE-S16PSK-OFDM-LFM ambiguity function bit error rate channel capacity constant envelope
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  • 1白霞,毛士艺,袁运能.时域合成带宽方法:一种0.1米分辨率SAR技术[J].电子学报,2006,34(3):472-477. 被引量:15
  • 2于光平,张昕.过采样方法与提高ADC分辨率的研究[J].沈阳工业大学学报,2006,28(2):137-139. 被引量:13
  • 3梁萧,多载频相位编码信号的研究[D],哈尔滨:哈尔滨工业大学,2006.
  • 4Levanon N. Multifrequency Complementary Phase Coded Radar Signal[J]. IEE Proc, Radar Sonar Nay igation, 2000, 147(6):276-284.
  • 5Mozeson E, I;evanon N. Multicarrier Radar Signals with I.ow Peak to-Mean Envelope Power Ratio[J]. IEE Proc, Radar Sonar Navigation, 2003, 150(2):71 77.
  • 6Prasad N N S S R K, Shameem V, Desai U B, et al.Improvement in Target Detection Performance of Pulse Coded Doppler Radar Based on Multicarrier Modula- tion with Fast Fourier Transform(FFT) [J]. IEE Proc, Radar Sonar Navigation, 2004, 151(1):11-17.
  • 7Sen S, Nehorai A. Adaptive Design of OFDM Radar Signal with lmproved Wideband Ambiguity Function [J]. IEEE Trans on Signal Processing, 2010, 58(2)928-933.
  • 8Kelly E J, Wishner R P. Matched-Filter Theory for High Velocity Accelerating Targets[J]. IEEE Trans on Military Electronics, 1965, 9(1) :56-59.
  • 9Levanon N, Mozeson E. Radar Signals[M]. Hoboken, NJ:J Wiley & Sons, 2004.
  • 10Levanon N. Mullifrequency Radar Signals[C] // Pro ceedings of IEEE International Radar Conference, AI exandria, VA:[s. n.], 2000:683-688.

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