Wavelet-based waveform for effective sidelobe suppression in radar signal

Siyang Cao; Yuan F. Zheng; Robert L. Ewing

doi:10.1109/TAES.2013.120067

Wavelet-based waveform for effective sidelobe suppression in radar signal

Siyang Cao, Yuan F. Zheng, Robert L. Ewing

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

12 Scopus citations

Abstract

A new radar waveform based on wavelets is proposed. The waveform shows significant advantages over conventional linear frequency modulated (LFM) and Costas waveforms for effective sidelobe suppression. Another benefit comes from the wavelet packets, each of which occupies a subband in the frequency domain. Subband adaptation of the waveform in both magnitude and phase becomes flexible, responding to varying target and environmental conditions. The latter facilitates the development of powerful cognitive radars.

Original language	English (US)
Article number	6809915
Pages (from-to)	265-284
Number of pages	20
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	50
Issue number	1
DOIs	https://doi.org/10.1109/TAES.2013.120067
State	Published - Jan 2014
Externally published	Yes

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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abstract = "A new radar waveform based on wavelets is proposed. The waveform shows significant advantages over conventional linear frequency modulated (LFM) and Costas waveforms for effective sidelobe suppression. Another benefit comes from the wavelet packets, each of which occupies a subband in the frequency domain. Subband adaptation of the waveform in both magnitude and phase becomes flexible, responding to varying target and environmental conditions. The latter facilitates the development of powerful cognitive radars.",

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AU - Zheng, Yuan F.

AU - Ewing, Robert L.

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AB - A new radar waveform based on wavelets is proposed. The waveform shows significant advantages over conventional linear frequency modulated (LFM) and Costas waveforms for effective sidelobe suppression. Another benefit comes from the wavelet packets, each of which occupies a subband in the frequency domain. Subband adaptation of the waveform in both magnitude and phase becomes flexible, responding to varying target and environmental conditions. The latter facilitates the development of powerful cognitive radars.

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Wavelet-based waveform for effective sidelobe suppression in radar signal

Abstract

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