关键词: 多输入多输出雷达, 电磁环境感知, 奇异值分解, 整体最小二乘

Abstract:

Effectively detecting the band frequency and power of airspace interference and cluster is the prerequisite for improving the accuracy and reliability of EES(Electromagnetic Environmental Sensory) and MIMO(Multiple-Input Multiple-Output) radar. This paper presents a new electromagnetic environment percep
tion algorithm based on TLS(Total Least Squares) and SVD(Singular Value Decomposition). TLS-SVD algorithm uses cross\|spectrum AR(Auto Regressive) model estimation parameters and considers the disturbance estimation error of cross-correlation function matrix, then takes into account the TLS perturbation method for vector error estimate on the equation side so the cross-correlation function can be realized. The simulation results show that the proposed algorithm has a good performance of spectral estimation. It can sense the clutter band of the environment accurately, and provide favorable guarantee for sending and receiving waveform of the EES-MIMO radar using the remaining “clean” band.

Key words: multiple-input multiple-output（MIMO） radar, electromagnetic environmental sensory(EES), singular value decomposition, total least squares