| Multiple-Input Multiple-Output(MIMO)radar is a research hotspot in the field of radar detection.It is an emerging radar that combines MIMO technology and radar system.The noise assumptions in the target angle estimation algorithm of bistatic MIMO radar are mostly studied based on Gaussian noise background.However,in a large number of signal processing practices,this signal processing method based on second-order moment and high-order cumulant is robust.Very poor sex.Research shows that in the noise environment where bistatic MIMO radar is located,not only Gaussian noise but also a large number of non-Gaussian impulsive noises exist.Nikas clearly states that a stable distribution can be used for data modeling of such noise.The impact noise is extremely harmful to the target angle estimation algorithm.The performance of traditional signal processing methods based on second-order moments and high-order cumulants is seriously degraded or even invalid.In response to this problem,the paper revolves around the target angle estimation problem of bistatic MIMO radar in the background of noise,and carries out the following research:1.Bistatic MIMO radar angle estimation method based on fractional lower moment and normalization correlationAiming at the DOA-DOD joint estimation problem of bistatic MIMO radar in the background of impact noise,the fractional lower moment theory and normalized correlation theory are studied,and two algorithms are proposed: FLOM-Unitary ESPRIT algorithm and normalized related Unitary ESPRIT algorithm.Through computer simulation,in the background of impact noise,the two algorithms proposed in this paper can correctly estimate the Direction of Arrival(DOA)and the Direction of Departure(DOD),and can automatically match..2.Bistatic MIMO radar angle estimation method based on dimensionality reduction MUSICFor the 2D-MUSIC algorithm,two-dimensional peak search is needed,and the computational complexity is high.A dimension reduction Root-MUSIC angle estimation method in the background of impact noise is studied.The algorithm does not require spectral peak search,has low algorithm complexity,high angular estimation accuracy,enables automatic pairing,and can be extended to other arrays.The effectiveness of the algorithm isverified by computer simulation.3.Bistatic MIMO radar angle estimation method based on unit circle transformationWhen the range of the characteristic index is in the range,the performance of the noise processing method based on the fractional lower moment is severely degraded,and the impact noise cannot be effectively suppressed.Aiming at this problem,the basic theory of unit circle transformation is studied,and the minimum norm MUSIC angle estimation algorithm based on unit circle transformation is proposed.This method not only preserves the phase information of the signal,but also effectively suppresses the impact noise.Finally,the computer simulation shows that the algorithm can effectively estimate the target angle and have a good angle estimation performance under strong impact noise environment. |
