Efficient weak manoeuvring target detection method for DSSS signal

Wei Cui; Shuang Wu; Jing Tian; Shenghui Shao; Siliang Wu

doi:10.1049/el.2014.2633

Efficient weak manoeuvring target detection method for DSSS signal

Wei Cui, Shuang Wu, Jing Tian, Shenghui Shao, Siliang Wu

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

A novel efficient detection method is proposed for radar transmitting direct sequences spread spectrum (DSSS) signals with high dynamics in the low signal-to-noise ratio (SNR) scenario. The core idea of the proposed method is first to eliminate the linear code phase drift via keystone transform (KT), then the derived modified Radon-Fourier transform (MRFT) is employed to accumulate the energy of the target effectively to achieve target detection and parameter estimation. Compared with the generalised RFT (GRFT) method, the proposed method has a similar detection performance, but requires much lower computational burden. Simulation results verify the validity of the proposed method.

Original language	English
Pages (from-to)	1740-1741
Number of pages	2
Journal	Electronics Letters
Volume	50
Issue number	23
DOIs	https://doi.org/10.1049/el.2014.2633
Publication status	Published - 6 Nov 2014

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10.1049/el.2014.2633

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title = "Efficient weak manoeuvring target detection method for DSSS signal",

abstract = "A novel efficient detection method is proposed for radar transmitting direct sequences spread spectrum (DSSS) signals with high dynamics in the low signal-to-noise ratio (SNR) scenario. The core idea of the proposed method is first to eliminate the linear code phase drift via keystone transform (KT), then the derived modified Radon-Fourier transform (MRFT) is employed to accumulate the energy of the target effectively to achieve target detection and parameter estimation. Compared with the generalised RFT (GRFT) method, the proposed method has a similar detection performance, but requires much lower computational burden. Simulation results verify the validity of the proposed method.",

author = "Wei Cui and Shuang Wu and Jing Tian and Shenghui Shao and Siliang Wu",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2014.",

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T1 - Efficient weak manoeuvring target detection method for DSSS signal

AU - Cui, Wei

AU - Wu, Shuang

AU - Tian, Jing

AU - Shao, Shenghui

AU - Wu, Siliang

PY - 2014/11/6

Y1 - 2014/11/6

N2 - A novel efficient detection method is proposed for radar transmitting direct sequences spread spectrum (DSSS) signals with high dynamics in the low signal-to-noise ratio (SNR) scenario. The core idea of the proposed method is first to eliminate the linear code phase drift via keystone transform (KT), then the derived modified Radon-Fourier transform (MRFT) is employed to accumulate the energy of the target effectively to achieve target detection and parameter estimation. Compared with the generalised RFT (GRFT) method, the proposed method has a similar detection performance, but requires much lower computational burden. Simulation results verify the validity of the proposed method.

AB - A novel efficient detection method is proposed for radar transmitting direct sequences spread spectrum (DSSS) signals with high dynamics in the low signal-to-noise ratio (SNR) scenario. The core idea of the proposed method is first to eliminate the linear code phase drift via keystone transform (KT), then the derived modified Radon-Fourier transform (MRFT) is employed to accumulate the energy of the target effectively to achieve target detection and parameter estimation. Compared with the generalised RFT (GRFT) method, the proposed method has a similar detection performance, but requires much lower computational burden. Simulation results verify the validity of the proposed method.

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DO - 10.1049/el.2014.2633

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SP - 1740

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JO - Electronics Letters

JF - Electronics Letters

IS - 23

ER -

Efficient weak manoeuvring target detection method for DSSS signal

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