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Proceedings Paper

Interference suppression in noise radar systems
Author(s): Slobodan Djukanović; Miloš Daković; Thayananthan Thayaparan; Ljubiša Stanković
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Paper Abstract

This paper addresses the issue of interference suppression in noise radars. The proposed methods can be divided into non-parametric and parametric ones. The considered non-parametric methods are based on linear time-frequency (TF) tools, namely the short-time Fourier transform (STFT) and local polynomial Fourier transform (LPFT). The STFT is the simplest TF method, but, due to the resolution problem, it performs poorly with highly nonstationary interferences. The LPFT resolves the resolution problem, however at the cost of increased complexity. In parametric methods, the phase of interference is locally approximated by a polynomial, which is motivated by the Weierstrass's theorem. Using the phase approximation, the corrupted received signal is demodulated and successively filtered. Two methods for polynomial phase approximation are considered, the high-order ambiguity function (HAF) and product high-order ambiguity function (PHAF). The method based on the HAF is computationally efficient; however, it suffers from the identifiability problem when multicomponent signals are considered. The identifiability problem can be resolved using the PHAF.

Paper Details

Date Published: 21 June 2011
PDF: 8 pages
Proc. SPIE 8021, Radar Sensor Technology XV, 80211M (21 June 2011); doi: 10.1117/12.884682
Show Author Affiliations
Slobodan Djukanović, Univ. of Montenegro (Montenegro)
Miloš Daković, Univ. of Montenegro (Montenegro)
Thayananthan Thayaparan, Defence Research and Development Canada (Canada)
Ljubiša Stanković, Univ. of Montenegro (Montenegro)

Published in SPIE Proceedings Vol. 8021:
Radar Sensor Technology XV
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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