Dictionary design method for improving MIMO radar target detection performance in complex scene
The invention discloses a dictionary design method for improving MIMO radar target detection performance in a complex scene, and belongs to the field of sparse representation. Establishing a co-located MIMO radar signal sparse representation model; acquiring a CAE model for nonlinear feature extract...
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Main Authors | , , , |
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Format | Patent |
Language | Chinese English |
Published |
09.01.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a dictionary design method for improving MIMO radar target detection performance in a complex scene, and belongs to the field of sparse representation. Establishing a co-located MIMO radar signal sparse representation model; acquiring a CAE model for nonlinear feature extraction and correction of the received data; constructing a joint optimization model based on a minimum reconstruction error and a target clutter correlation criterion; alternately updating CAE model parameters, target clutter dictionaries and corresponding sparse coefficients of the joint optimization model, and obtaining an optimal target clutter dictionary and a corresponding sparse coefficient; the method comprises the following steps: obtaining a receiving and transmitting space-time resource joint optimization model based on a least square criterion, solving the obtained optimization problem by a convex optimization method, and obtaining a CAE model capable of effectively correcting the nonlinear effect of MIMO r |
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Bibliography: | Application Number: CN202311400519 |