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Parameter estimation method of MIMO radar

A technology of parameter estimation and radar, applied in the field of parameter estimation of MIMO radar, to achieve the effect of good performance, overcoming accurate estimation, and small amount of data computation

Active Publication Date: 2020-04-24
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in actual situations, the error of the array is often unavoidable, so it is of great practical significance to discuss how to achieve a robust target angle estimation when there is an error in the array

Method used

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  • Parameter estimation method of MIMO radar
  • Parameter estimation method of MIMO radar
  • Parameter estimation method of MIMO radar

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Embodiment Construction

[0034] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0035] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.

[0036] Build a bistatic signal model, such as figure 1 . The transmitting and receiving antenna arrays are set to be equidistant linear arrays, and the trans...

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Abstract

The invention discloses a parameter estimation method of an MIMO radar. The parameter estimation method comprises the steps of: acquiring a received signal by using a pre-constructed bistatic signal model considering an array error; performing sparse representation on the received signal by using a pre-constructed sparse signal model; projecting and adopting the sparsely represented received signal by using a random Gaussian observation matrix to obtain a measurement signal; and reconstructing the measurement signal by using an OMP reconstruction algorithm, and determining an azimuth angle anda pitch angle of a target. The parameter estimation method has the advantages that the parameter estimation method is suitable for high-resolution parameter estimation, can precisely estimate a two-dimensional angle of the target, can overcome array noise to realize precise estimation of reflection amplitude of the target, and has good MIMO radar parameter estimation performance based on the OMPalgorithm under the conditions of a low signal-to-noise ratio and array errors, and is low in data sampling rate and small in data calculation amount.

Description

technical field [0001] The invention relates to a parameter estimation method of MIMO radar, belonging to the technical field of MIMO radar signal processing. Background technique [0002] The concept of MIMO radar and its related signal processing technology have attracted more and more attention from scholars from various countries. Many scholars have conducted research on the parameter estimation performance of MIMO radar. In recent years, in the field of signal processing, the theory of Compressive Sensing, which uses existing classical methods (such as transform coding, optimization algorithms, etc.) to solve the problem of high-speed analog-to-digital conversion, has emerged. Under the condition of far less than the sampling rate of Nyquist, random sampling is used to obtain discrete samples of the signal, and then the signal is perfectly reconstructed by a nonlinear reconstruction algorithm. [0003] Whether it is a traditional algorithm or a target reconstruction me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/411Y02A90/10
Inventor 胡居荣田颖詹蕾
Owner HOHAI UNIV
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