MIMO Radar Anti-interference System Design And Signal Processing Algorithm Research And Implementation

In recent years,MIMO(Multiple Input and Multiple Output)radar has received widespread attention from researchers in the radar field due to its many advantages.It is a new radar system that uses multiple antennas to transmit and receive signals at the transmitter and receiver at the same time.MIMO radar has great advantages in anti-interference,angle measurement accuracy,range resolution and speed resolution,etc.The orthogonal waveform design with good performance can help MIMO radar improve the anti-interference ability,and it is the key to realize MIMO radar.The system of MIMO radar is different from conventional radar,which determines that its signal processing technology is also different from conventional radar.Therefore,this article mainly studies the orthogonal waveform design of MIMO radar and the signal processing technology of MIMO radar.Aiming at the orthogonal waveform design,this paper proposes a continuous wave MIMO radar waveform design method based on genetic algorithm and the two-phase code sequence with long code length and good orthogonality can be obtained by using this method.The core idea of the method is to extend the existing two-phase code and then use genetic algorithm to optimize it on this basis.Since this method is designed on the basis of phase-encoded signals,this article introduces common phase-encoded signals,and focuses on the m-sequence and Gold sequence which are two-phase pseudo-random codes.In communication theory,the radar cannot directly transmit the existing phase signal,and the signal needs to be modulated to be transmitted in the band communication channel.Therefore,this article briefly describes the basic principles of modulation and demodulation of BPSK(Binary Phase Shift Keying)signals and QPSK(Quadrature Phase Shift Keying)signals.Finally,the application of the radio frequency coding method based on BPSK is also explained.This article analyzes the traditional matched filter architecture in depth,and points out its shortcomings.In order to make the entire communication system efficient and concise,the traditional matched filter architecture is improved from the perspective of spectrum shifting,and the theoretical feasibilities of two matched filter architectures are proved by experiments.Then,comparing the result of fixed-point simulation with that of floating-point simulation,it is pointed out that the traditional matched filtering algorithm can be well implemented on the hardware platform.Finally,the matched filtering algorithm is verified on the hardware platform.