Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar

Jiawei Zhang; Huaping Xu; Wei Liu; Chunsheng Li; Yifan Chen

doi:10.1109/TGRS.2021.3097115

Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar

Jiawei Zhang, Huaping Xu, Wei Liu, Chunsheng Li, Yifan Chen

Research output: Journal article publication › Journal article › Academic research › peer-review

9 Citations (Scopus)

Abstract

A joint design of the transmit weight sequence and receive filter is proposed to improve target information acquisition in high-resolution radar. First, using the criterion for target information acquisition maximization, the design is cast as a nonconvex fractional quadratically constrained quadratic problem (QCQP). Then, by employing a bivariate auxiliary function introduced in Dinkelbach's algorithm to decouple the fractional objective function, an algorithm with polynomial computational complexity is developed to solve the QCQP using a cyclic maximization procedure alternating between two semidefinite relaxation (SDR) problems. Through exploiting a suitable rank-one decomposition, it is verified that the optimal solution obtained from the alternative iterative process is also optimal to the original QCQP. Finally, numerical examples are presented to demonstrate the performance of the proposed design.

Original language	English
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	60
DOIs	https://doi.org/10.1109/TGRS.2021.3097115
Publication status	Published - Jul 2021

Keywords

Constrained optimization
high-resolution radar
information acquisition
receive filter
transmit weight

ASJC Scopus subject areas

Electrical and Electronic Engineering
General Earth and Planetary Sciences

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10.1109/TGRS.2021.3097115

Cite this

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title = "Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar",

abstract = "A joint design of the transmit weight sequence and receive filter is proposed to improve target information acquisition in high-resolution radar. First, using the criterion for target information acquisition maximization, the design is cast as a nonconvex fractional quadratically constrained quadratic problem (QCQP). Then, by employing a bivariate auxiliary function introduced in Dinkelbach's algorithm to decouple the fractional objective function, an algorithm with polynomial computational complexity is developed to solve the QCQP using a cyclic maximization procedure alternating between two semidefinite relaxation (SDR) problems. Through exploiting a suitable rank-one decomposition, it is verified that the optimal solution obtained from the alternative iterative process is also optimal to the original QCQP. Finally, numerical examples are presented to demonstrate the performance of the proposed design.",

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T1 - Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar

AU - Zhang, Jiawei

AU - Xu, Huaping

AU - Liu, Wei

AU - Li, Chunsheng

AU - Chen, Yifan

PY - 2021/7

Y1 - 2021/7

N2 - A joint design of the transmit weight sequence and receive filter is proposed to improve target information acquisition in high-resolution radar. First, using the criterion for target information acquisition maximization, the design is cast as a nonconvex fractional quadratically constrained quadratic problem (QCQP). Then, by employing a bivariate auxiliary function introduced in Dinkelbach's algorithm to decouple the fractional objective function, an algorithm with polynomial computational complexity is developed to solve the QCQP using a cyclic maximization procedure alternating between two semidefinite relaxation (SDR) problems. Through exploiting a suitable rank-one decomposition, it is verified that the optimal solution obtained from the alternative iterative process is also optimal to the original QCQP. Finally, numerical examples are presented to demonstrate the performance of the proposed design.

AB - A joint design of the transmit weight sequence and receive filter is proposed to improve target information acquisition in high-resolution radar. First, using the criterion for target information acquisition maximization, the design is cast as a nonconvex fractional quadratically constrained quadratic problem (QCQP). Then, by employing a bivariate auxiliary function introduced in Dinkelbach's algorithm to decouple the fractional objective function, an algorithm with polynomial computational complexity is developed to solve the QCQP using a cyclic maximization procedure alternating between two semidefinite relaxation (SDR) problems. Through exploiting a suitable rank-one decomposition, it is verified that the optimal solution obtained from the alternative iterative process is also optimal to the original QCQP. Finally, numerical examples are presented to demonstrate the performance of the proposed design.

KW - Constrained optimization

KW - high-resolution radar

KW - information acquisition

KW - receive filter

KW - transmit weight

UR - https://www.scopus.com/pages/publications/85112642892

U2 - 10.1109/TGRS.2021.3097115

DO - 10.1109/TGRS.2021.3097115

M3 - Journal article

AN - SCOPUS:85112642892

SN - 0196-2892

VL - 60

JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

ER -

Joint Design of Transmit Weight Sequence and Receive Filter for Improved Target Information Acquisition in High-Resolution Radar

Abstract

Keywords

ASJC Scopus subject areas

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