DETECTION AND LOCALIZATION OF RF RADAR PULSES IN NOISE ENVIRONMENTS USING WAVELET PACKET TRANSFORM AND HIGHER ORDER STATISTICS | Zendy

Omar A. M. Alyt | Zendy; A.S. Omar | Zendy; Atef Z. Elsherbeni | Zendy

Open Access

DETECTION AND LOCALIZATION OF RF RADAR PULSES IN NOISE ENVIRONMENTS USING WAVELET PACKET TRANSFORM AND HIGHER ORDER STATISTICS

Author(s) -

Omar A. M. Alyt,

A.S. Omar,

Atef Z. Elsherbeni

Publication year - 2006

Publication title -

electromagnetic waves

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.437

H-Index - 89

eISSN - 1559-8985

pISSN - 1070-4698

DOI - 10.2528/pier05070204

Subject(s) - higher order statistics , radar , wavelet , noise (video) , statistics , network packet , wavelet transform , wavelet packet decomposition , pattern recognition (psychology) , computer science , artificial intelligence , mathematics , telecommunications , signal processing , image (mathematics) , computer network

Weak signal detection and localization are basic and important problems in radar systems. Radar performance can be improved by increasing the receiver output signal-to-noise ratio (SNR). Localizing the received signal is an important task in the detection of signal in noise. Distorting the localization of the received signal can leads to incorrect target range measurements. In this paper an algorithm is described for extracting and localizing an RF radar pulse from a noisy background. The algorithm combines two powerful tools: the wavelet packet analysis and higher-order-statistics (HOS). The use of the proposed technique makes detection and localization of RF radar pulses possible in very low signal-to-noise ratio conditions, which leads to a reduction of the required microwave power or alternatively extending the detection range of radar systems.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research