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Robust transmit-receive joint optimization method for airborne mimo radar under constant modulus constraints

A technology of transmitting, receiving and joint optimization, applied in the field of MIMO radar, can solve the problems of inability to solve the robust joint design of airborne MIMO radar, without considering the uncertainty of target prior information, etc.

Active Publication Date: 2022-08-05
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Aiming at the problem of joint optimization of MIMO-STAP radar transmit waveforms and receive filters, the document "Joint design of transmit waveforms and receive filter for MIMO radar space-time adaptive processing [J]" (TangB.,Tang J.IEEE Trans.Signal Process., 2016,64(18):4707-4722.) A variety of optimization algorithms were proposed for energy constraints, constant modulus constraints and similarity constraints, but did not consider the uncertainty of the target prior information
The research on airborne MIMO radar in the prior art is the joint design of airborne MIMO radar transmission waveform and receiving filter under ideal conditions, which cannot solve the problem of robust joint design of airborne MIMO radar under inaccurate prior information

Method used

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  • Robust transmit-receive joint optimization method for airborne mimo radar under constant modulus constraints
  • Robust transmit-receive joint optimization method for airborne mimo radar under constant modulus constraints
  • Robust transmit-receive joint optimization method for airborne mimo radar under constant modulus constraints

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Embodiment 1

[0099] Robust transmit-receive joint optimization method for airborne MIMO radar under constant modulus constraints, including the following steps:

[0100] S1: Build an airborne MIMO radar waveform signal model;

[0101] Specifically, consider the side-view airborne MIMO radar system, the schematic diagram of its geometric structure is shown in Figure 1. For the airborne MIMO radar system with fast time change, it is assumed that the number of transmitting array elements and receiving array elements of the airborne radar are respectively is N T and N R , d T and d R Respectively represent the distance between the transmitting array elements and between the receiving array elements, and they satisfy the following relationship d T =γd R , each transmitting array element transmits K slow-time encoded pulses within a coherent processing interval, and the speed of the airborne radar platform is V p , the radial velocity of the target relative to the platform is V t , the sp...

Embodiment 2

[0175] The difference between the second embodiment and the first embodiment is that, in step S4, the receiving filter w is fixed, and the optimal waveform matrix S is obtained based on positive semi-definite programming and randomization, and other operations are the same.

[0176] The specific operation of obtaining the optimal waveform matrix S based on the method of semi-positive definite programming and randomization is as follows:

[0177] When the receiving filter w is fixed, the optimization problem of the transmit waveform and the robust transmit-receive joint design model of the receive filter under the constant modulus constraint under the fast time of the MIMO-STAP radar can be expressed as

[0178]

[0179]

[0180] Convert the model optimization problem in (31) into an equivalent form

[0181]

[0182] where R s =s * s T , s T R DL (W)s * =tr[R DL (W)R s ];

[0183] Transform the optimization problem for waveform s into a covariance matrix R f...

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Abstract

The invention discloses a robust transmit-receive joint optimization method for an airborne MIMO radar under constant modulus constraints, comprising the following steps: establishing a fast-time waveform correlation signal model of the airborne MIMO radar; establishing a robust transmit-receive joint design model; receiving Optimization of filters; optimization of robust constant-modulus emission waveforms based on fractional programming and Power method‑like iteration, or based on positive semi-definite programming and randomization; STAP processing using optimization results. The present invention considers the uncertainty of the target Doppler frequency and the spatial cone angle, and takes the average output SCNR as the optimization goal, that is, maximizes the average output SCNR while maintaining the constant modulus constraint of the transmitted waveform, and proposes a method based on fractional programming and Power method‑like iteration, and a robust constant modulus transmit waveform optimization method based on positive semi-definite programming and randomization, both of which can achieve iteratively increasing output SCNR performance and are robust to the uncertainty of target parameters, which can be used for radar and communications.

Description

technical field [0001] The present invention relates to the technical field of MIMO radar, in particular to a robust transmit-receive joint optimization method of an airborne MIMO radar under constant modulus constraints. Background technique [0002] Multiple-input-multiple-output (MIMO) radar can transmit multiple freely controllable pulse signals through the antenna, which makes the MIMO radar have better performance than the general phased array radar, thereby improving the radar system Design flexibility. MIMO radars can be classified into statistical MIMO radars and coherent MIMO radars according to the way the transceiver antennas are configured. MIMO radar has been widely used because of its ability to transmit flexible waveforms. For example, statistical MIMO radar uses spatial diversity characteristics to improve target detection, and coherent MIMO radar has better parameter identification capabilities and more flexible transmit pattern design capabilities. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/282G01S7/292G01S7/41G01S13/50
CPCG01S7/282G01S7/292G01S7/41G01S13/50
Inventor 李志汇潘继飞师俊朋武东明石树杰李天琪
Owner NAT UNIV OF DEFENSE TECH