DocumentCode
67497
Title
Spectrally Constrained Waveform Design [sp Tips&Tricks]
Author
Rowe, Wayne ; Stoica, Petre ; Jian Li
Author_Institution
Univ. of Florida, Gainesville, FL, USA
Volume
31
Issue
3
fYear
2014
fDate
May-14
Firstpage
157
Lastpage
162
Abstract
In active sensing, transmitters emit probing waveforms into the environment. The probing waveforms interact with scatters that reflect distorted copies of the waveforms. Receivers then measure the distorted copies to infer information about the environment. The choice of the probing waveform is important because it affects slant range resolution, Doppler tolerance, clutter, and electronic countermeasures. A traditional performance metric for the probing waveform is the ambiguity function, which describes the correlation between the waveform and a delayed and (narrow-band) Doppler shifted copy of the same waveform [1]. The direct synthesis of a waveform given a desired ambiguity function is exceedingly difficult [2]. Often designers focus on optimizing only the waveform´s autocorrelation function (which is the zero Doppler cut of the ambiguity function). Any method that optimizes the autocorrelation function is implicitly performing spectral shaping by trying to flatten the passband of the waveform´s spectrum [1], [2].
Keywords
transmitters; waveform analysis; Doppler tolerance; active sensing; autocorrelation function; probing waveforms; slant range resolution; spectral shaping; spectrally constrained waveform design; transmitters; zero Doppler cut; Algorithm design and analysis; Cost function; Scattering; Sensors; Signal processing algorithms; Waveforms; Web sites;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2014.2301792
Filename
6784117
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