A Radar Electromagnetic Environment Sensing Method Based On Cyclic Spectral Algorithm

In this paper, a radar electromagnetic environment sensing method based on the cyclic spectral algorithm is discussed, which can be used to acquire the spectrum information of radar signals and distinguish them. This paper uses the second-order cyclostationary detection algorithm based on the spectral correlation function (SCF) to obtain the cyclic spectral. The estimation of SCF is and the estimation precision by calculating deviation and variance of SCF are displayed. In the simulation, a scenario of radar electromagnetic environment is presented by transmitting Linear Frequency Modulation signals (LFM) and Amplitude Modulation signals (AM). Simulation results indicate that the cyclic spectral algorithm can not only sense the spectrum information of signals but also judge the type of signal. Therefore, the bandwidth of the interference information can be detected. The simulation results show that this method is highly preferred for radar electromagnetic environment sensing even under low signal-to-noise ratio (SNR) circumstance.