Research On MIMO Radar Direction Of Arrival Estimation In ? Stable Noise

With the development of anti-radiation weapons,stealth technology,electromagnetic interference technology,and other anti-radar technologies,the MIMO radar has become the future important direction of radar development with its unique characteristics such as virtual aperture,high resolution,anti-interference,anti-stealth and wide prospects.Existing MIMO radar signal processing has developed many mature DOA estimation methods.These methods are based on the assumption that background noise is a Gaussian distribution model.More and more research shows that noise signals in MIMO radar signal processing process often have impact characteristics and long tailing characteristics,and the performance of MIMO radar signal DOA estimation decreases rapidly with the increase of impact and smearing performance.These noise signals with impact and smearing are proved to be consistent with a stable distribution,while noise signals with ? stable distribution do not have a second-order moment and a second-order or higher moment,so the noise based on Gaussian noise is based on the second moment or high MIMO radar signal DOA estimation performance declines or even severely fails when processing noise due to signal processing methods of the moments.Therefore,it is of great value and significance to study DOA estimation in MIMO radar under noise background.The fractional lower order moments can effectively suppress the impact and smearing of noise.The existing MIMO radar DOA estimation method based on fractional lower order moments is only suitable for noises between 1 and 2 and the value is 0 to 1 MIMO radar DOA estimation method is not applicable.To overcome the limitation of the MIMO radar DOA estimation,the main research work in this paper is as follows:1.Aiming at the low-order moments of noise fraction,the mechanism of noise suppression for different range of values by phase fraction low order moments was analyzed,and the existence of phase fraction low-order moment statistics for MIMO radar DOA estimation was proved.The MIMO radar was deduced based on this.The matching filtering process of the low-order moments of the phase fractions is used to verify the effect of the low-order moment of the phase fraction on noise suppression and the matched filter performance of the MIMO radar based on the low-order moment of the phase fraction.2.The DOA estimation MUSIC algorithm for bistatic MIMO radar is studied.Using noise of different values as background noise,a DOA estimation MUSIC algorithm for bistatic MIMO radar based on phase fractional lower-order moments is proposed.Combining particle swarm optimization can simplify calculations.The characteristics of the MUSIC algorithm are optimized for peak search.Simulation experiments verify the correctness of the DOA estimation MUSIC algorithm based on the phase fractional low-order moments of the MIMO radar,and verify the low fractional moment of the phase fraction of the MUSIC algorithm.Matching Filter Performance and Performance of Particle Swarm Optimization Peak Search.3.The tensor-based DOA algorithm for bistatic MIMO radar is studied,and noise with different values is taken as the background noise.A bistatic MIMO radar tensor PARAFAC decomposition DOA estimation algorithm based on phase fraction low-order moments is proposed to minimize the deviations.Based on trilinear alternative least-squares basis estimation,the third-order tensor model PARAFAC factorization matrix factor of MIMO radar is estimated to realize the DOA estimation of bistatic MIMO radar.The low-order phase-based fractions of different values are verified by simulation experiments.correctness of momentary bistatic MIMO radar tensor PARAFAC decomposition DOA estimation algorithm.Simulation experiments show that the proposed algorithm can achieve DOA estimation for MIMO radar under noisy background.The noise processing method based on the low-order moment of phase fraction proposed in this paper not only can effectively suppress the noise of different values,but also can achieve the double DOA Accurate Estimation of Base MIMO Radar.