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MIMO radar orthogonal waveform design method based on improved GA-SQP

A technology of orthogonal waveforms and design methods, applied to radio wave measurement systems, instruments, etc., can solve problems such as limited convergence ability and coarse granularity, and achieve the effects of improving convergence, increasing optimization speed, and expanding solution space

Active Publication Date: 2020-10-02
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing method combining GA and SQP (Sequence Quadratic Programming) algorithm has the problems of coarse granularity and limited convergence ability in crossover operation and mutation operation, and its convergence needs to be further improved

Method used

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  • MIMO radar orthogonal waveform design method based on improved GA-SQP
  • MIMO radar orthogonal waveform design method based on improved GA-SQP
  • MIMO radar orthogonal waveform design method based on improved GA-SQP

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Embodiment Construction

[0030] Embodiments of the present invention will be described in detail below in conjunction with examples, but those skilled in the art will understand that the following examples are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention.

[0031] refer to figure 1 , a kind of MIMO radar quadrature waveform design method based on improved GA-SQP provided by the present invention comprises the following steps:

[0032] Step 1, assuming that the number of transmitting elements of the MIMO radar is M and the code length is L, then its phase encoding matrix is ​​expressed as:

[0033]

[0034] Among them, φ i (l) represents the l-th phase of the i-th transmission channel, and the phase encoding matrix Φ is composed of M×L encoding phases, each row of which is a transmission channel, and each column represents the code transmitted by M array elements at the same time Yuan.

[0035] The transmit waveform of ...

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Abstract

The invention discloses an MIMO radar orthogonal waveform design method based on improved GA-SQP, and the method comprises the steps: optimizing a phase coding matrix through an improved GA-SQP algorithm, and designing an orthogonal waveform through the optimized phase coding matrix; according to the method, after crossover and variation of a traditional genetic algorithm, an SQP optimization stage is added, and a certain number of individuals are selected for SQP multiple iterations, so that the local optimization performance of the algorithm is improved; meanwhile, on the basis of an original genetic algorithm, crossover operation and mutation operation continue to be refined, an operation object is changed into a chromosome from an individual, the solution space is expanded, the convergence of the whole algorithm is further improved, and the optimization speed of a phase encoding matrix is increased.

Description

technical field [0001] The invention relates to the technical field of civil security radars, in particular to a design method for MIMO radar orthogonal waveforms based on improved GA-SQP. The method has good convergence, and the designed waveforms can be used as transmission waveforms of MIMO system radars. Background technique [0002] With the development of radar technology and the improvement of its functional requirements, multiple-input multiple-output (MIMO) radar has improved the degree of freedom of the system by virtue of its better range and Doppler resolution, and can counteract the scintillation of the cross-sectional area of ​​the target And other advantages, become the main radar system. The performance of MIMO radar is closely related to the waveform it transmits. Waveform design is a crucial scientific research direction in the field of MIMO radar. Coherent MIMO radar requires that the transmitted waveforms be orthogonal to each other, so as to obtain wide-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/42
CPCG01S7/42
Inventor 朱圣棋杨帆王磊高永婵许京伟谢佳宏吕微慧高雅
Owner XIDIAN UNIV
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