Polarized bistatic MIMO radar parameter estimation method in impact noise environment based on sparse reconstruction

Abstract

The invention provides a polarized bistatic MIMO radar parameter estimation method in an impact noise environment based on sparse reconstruction. The method comprises the steps: building a polarized bistatic MIMO radar receiving data model in the impulsive noise environment; 2, carrying out the impact removing preprocessing of snapshot sampling data; 3, carrying out the estimation of transmitting angle parameters of a polarized bistatic MIMO radar through the rotational invariance of a subspace; 4, constructing a sparse dictionary set of the polarized bistatic MIMO radar; 5, carrying out the sparse reconstruction of a receiving angle of the polarized bistatic MIMO radar; 6, judging whether to reach the maximum number of iteration times or not: executing step 7 if the maximum number of iteration times arrives, or else supposing k=k+1, and returning to step 5; 7, obtaining a sparse reconstruction result sk, and obtaining the information of the receiving angle of the polarized bistatic MIMO radar through an index set U, and outputting an estimation result of the transmitting angle and the receiving angle of the polarized bistatic MIMO radar. The method is wider in application range, and can be used for solving actual problems that cannot be solved by a conventional polarized bistatic MIMO radar parameter estimation method.

Description

technical field [0001] The present invention relates to a radar parameter estimation method for array signal processing, in particular to a radar parameter estimation method that considers polarized bistatic MIMO in an impact noise environment and is realized through de-shock preprocessing and compressed sensing sparse reconstruction mechanisms. A method for robust estimation of radar parameters. Background technique [0002] When bistatic multiple-input multiple-output (MIMO) radar is used for target detection, it can combine array signal processing technology and virtual array element technology to enhance radar performance and improve system resolution, which is the key to realize target detection. Since the detection signal transmitted and the echo signal received in the bistatic MIMO radar system propagate in the form of electromagnetic waves in space, its polarization information has considerable utilization value. At present, the parameter estimation of bistatic MIMO...

AI Technical Summary

Problems solved by technology

Since the second-order and higher-order moments do not exist in the impact noise, the parameter estimation problem of the polarization bistatic MIMO radar under the impact noise cannot be directly transplanted into the target parameter estimation scheme under the Gaussian noise, otherwise the performance of the algorithm will drop sharply or even fail. , so the parameter estimation problem of polarized bistatic MIMO radar in the impact noise environment is still unsolved

[0004] After searching the existing technical literature, it was found that "Bistatic MIMO Radar Angle Based on MUSIC and ESPRIT" published in "Journal of Electronics and Information Technology" (2010, Vol. Estimation Algorithm", which uses the single-antenna MUSIC algorithm and the dual-antenna ESPRIT algorithm to estimate the direction of departure and direction of arrival of the target that can be automatically paired. In the parameter estimation problem of bistatic MIMO radar, the dimensionality reduction scheme fails, and the high-dimensional search calculation time is long, and the performance deteriorates under the condition of low signal-to-noise ratio and few snapshot sampling conditions

At the same time, this scheme works well in the Gaussian noise background, but in the impact noise environment, the performance of this method deteriorates seriously and even leads to failure.

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