MIMO radar signals modulation recognition based on partial instantaneous autocorrelation spectrum

• Main Authors: Xian Rao, Xuezhi Zhao, Ling Zhang
• Format: Article
• Language: English
• Published: Wiley 2019-06-01
• Series: The Journal of Engineering
• Subjects: modulation; computational complexity; correlation methods; MIMO communication; radar signal processing; MIMO systems; MIMO radar; MIMO radar signals modulation recognition; partial instantaneous autocorrelation spectrum; long recognition time; modulation identification; multiple-input multiple-output radar signal; zero-delay instantaneous autocorrelation spectrum; centralised MIMO radar; zero-delay transient autocorrelation spectrum; part signal; coded MIMO radar signals; partial instantaneous correlation spectrum; modulation type
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0031

Aiming at the problem of large amount of calculation and long recognition time of traditional method of modulation identification of centralised multiple-input multiple-output (MIMO) radar signal, partial zero-delay instantaneous autocorrelation spectrum is proposed to identify the modulation of centralised MIMO radar here. In this method, the modulation identification of the centralised MIMO radar is performed by extracting the ratio of the sub-peak to the highest peak in the zero-delay transient autocorrelation spectrum of the part signal. The computational complexity of this method is low, and it identifies without additional features for coded MIMO radar signals. Here, the definition of partial instantaneous correlation spectrum is given; the feasibility of using this method to identify the modulation type of the centralised MIMO radar is analysed, and the identification process is discussed. It is showed that the proposed method can shorten the recognition time while guaranteeing the detection performance under a certain SNR in the simulation results.