Simulation method of MIMO radar target detection under non-Gaussian clutter environment

Abstract

The invention discloses a simulation method of MIMO (Multiple Input Multiple Output) radar target detection under non-Gaussian clutter environment. The method comprises the following steps of: establishing a target detection model based on the auxiliary data which is close to a detected unit and does not contain the target; substituting a likelihood function with a detection signal to get the detection statistic; under a condition that a non-Gaussian clutter covariance matrix is known, obtaining a theoretical MIMO radar target detector by using a generalized likelihood ratio test theory. Under a condition that the non-Gaussian clutter covariance matrix is unknown, an appropriate clutter covariance matrix is estimated based on the auxiliary data, and the generalized likelihood ratio is substituted by the estimated clutter covariance matrix, thus, a MIMO radar adaptive detector is proposed.

Description

technical field [0001] The invention belongs to the field of statistical MIMO radar target detection, relates to a simulation method in the field of statistical MIMO radar target detection, and is suitable for statistical MIMO radar system target detection in a non-Gaussian clutter environment. Background technique [0002] Inspired by MIMO communication theory and the concept of Synthetic Pulse Aperture (SIAR) radar, as well as the radar's demand for new theories and technologies, Bell Labs proposed MIMO radar with full diversity of transceivers, also known as statistical MIMO (S-MIMO) radar , this kind of radar uses the idea of ​​space diversity in communication, and makes each receiving signal completely independent by increasing the distance between each array element, so as to obtain space diversity gain, which is coherent with the receiving signal of each array element required by phased array radar. Totally different. In the transceiver full-diversity MIMO radar, the...

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Problems solved by technology

However, the resolution of modern radars is getting higher and higher, which makes the echoes of adjacent scattering units have certain correlations in time and space, so the above assumption is no longer valid. In some complex environments, many factors that affect signal reception The noise is non-Gaussian noise. If it is regarded as Gaussian noise, it may cause damage and loss. Moreover, many measured data have also confirmed that in the case of low elevation angle or high-resolution radar, the statistical characteristics of the clutter distribution deviate significantly from the Gaussian distribution. characteristic

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