2002•Unpublished venueRequires access

Optimal sampling of linear FM and conversion to digitized waveform having predictable sidelobe patterns

Woo-Kyung Lee, Kangmin Park

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Abstract

Several advantages are achieved when discrete phased codes are used instead of continuous waveforms. The discrete structure of the phase code signal enables one to increase the freedom of waveform design when pulse compression scheme is considered. This may lead to an arbitrary design of the resultant sidelobe patterns and possibly wide dynamic range responses can be achieved for various applications. This paper shows how a particular sampling rate for linear FM signals may lead to a significant reduction of the peak sidelobe level (PSL) as well as the integrated sidelobe level (ISL) in pulse compression operation.

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What this paper is about

Several advantages are achieved when discrete phased codes are used instead of continuous waveforms. The discrete structure of the phase code signal enables one to increase the freedom of waveform design when pulse compression scheme is considered. This may lead to an arbitrary design of the resultant sidelobe patterns and possibly wide dynamic range responses can be achieved for various applications. This paper shows how a particular sampling rate for linear FM signals may lead to a significant reduction of the peak sidelobe level (PSL) as well as the integrated sidelobe level (ISL) in pulse compression operation.

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Available abstract

Several advantages are achieved when discrete phased codes are used instead of continuous waveforms. The discrete structure of the phase code signal enables one to increase the freedom of waveform design when pulse compression scheme is considered. This may lead to an arbitrary design of the resultant sidelobe patterns and possibly wide dynamic range responses can be achieved for various applications. This paper shows how a particular sampling rate for linear FM signals may lead to a significant reduction of the peak sidelobe level (PSL) as well as the integrated sidelobe level (ISL) in pulse compression operation.

Key concepts: Waveform, Pulse compression, Computer science, Sampling (signal processing), Electronic engineering, Phase (matter), SIGNAL (programming language), Compression (physics)

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