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  1. Science in China Series : Information Sciences
  2. Science in China Series : Information Sciences : Volume 54
  3. Science in China Series : Information Sciences : Volume 54, Issue 12, December 2011
  4. Improvement in detection with forward scattering radar
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Science in China Series : Information Sciences : Volume 61
Science in China Series : Information Sciences : Volume 60
Science in China Series : Information Sciences : Volume 59
Science in China Series : Information Sciences : Volume 58
Science in China Series : Information Sciences : Volume 57
Science in China Series : Information Sciences : Volume 56
Science in China Series : Information Sciences : Volume 55
Science in China Series : Information Sciences : Volume 54
Science in China Series : Information Sciences : Volume 54, Issue 12, December 2011
Editor’s note
Salient region detection and segmentation for general object recognition and image understanding
Monaural voiced speech segregation based on elaborate harmonic grouping strategies
A flexible framework for HMM based noise robust speech recognition using generalized parametric space polynomial regression
Right-and-left visual field stimulation: A frequency and space mixed coding method for SSVEP based brain-computer interface
Spatio-temporal pattern analysis of single-trial EEG signals recorded during visual object recognition
Stable multi-label boosting for image annotation with structural feature selection
Part-based on-road vehicle detection using hidden random field
R-calculus without the cut rule
Modeling grammatical evolution by automaton
Towards estimating expected sizes of probabilistic skylines
Evolutionary cryptography against multidimensional linear cryptanalysis
An integrated quantum secure communication system
Painting patches: Reducing flicker in painterly re-rendering of video
Perfect reconstruction image modulation based on BEMD and quaternionic analytic signals
H $_{2}$/H $_{∞}$ control of networked control system with random time delays
An omnidirectional mobile robot
A refined coherent point drift (CPD) algorithm for point set registration
Assessment and improvement of autocorrelation performance of chaotic sequences using a phase space method
Improvement in detection with forward scattering radar
Process optimization of plasma nitridation SiON for 65 nm node gate dielectrics
Layer-by-layer assembly carbon nanotubes thin film based gas sensors for ammonia detection
Science in China Series : Information Sciences : Volume 54, Issue 11, November 2011
Science in China Series : Information Sciences : Volume 54, Issue 10, October 2011
Science in China Series : Information Sciences : Volume 54, Issue 9, September 2011
Science in China Series : Information Sciences : Volume 54, Issue 8, August 2011
Science in China Series : Information Sciences : Volume 54, Issue 7, July 2011
Science in China Series : Information Sciences : Volume 54, Issue 6, June 2011
Science in China Series : Information Sciences : Volume 54, Issue 5, May 2011
Science in China Series : Information Sciences : Volume 54, Issue 4, April 2011
Science in China Series : Information Sciences : Volume 54, Issue 3, March 2011
Science in China Series : Information Sciences : Volume 54, Issue 2, February 2011
Science in China Series : Information Sciences : Volume 54, Issue 1, January 2011
Science in China Series : Information Sciences : Volume 53
Science in China Series : Information Sciences : Volume 52
Science in China Series : Information Sciences : Volume 51
Science in China Series : Information Sciences : Volume 50
Science in China Series : Information Sciences : Volume 49
Science in China Series : Information Sciences : Volume 48
Science in China Series : Information Sciences : Volume 47
Science in China Series : Information Sciences : Volume 46
Science in China Series : Information Sciences : Volume 45
Science in China Series : Information Sciences : Volume 44

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Improvement in detection with forward scattering radar

Content Provider Springer Nature Link
Author Raja Abdullah, Raja Syamsul Azmir Rasid, Mohd Fadlee A. Mohamed, M. Khalafa
Copyright Year 2011
Abstract Forward scattering radar (FSR) has advantages over traditional monostatic radar such as an enhanced radar cross section. Enhancement of the radar cross section can increase the detection range of the FSR system. This feature has renewed interest in FSR. The latest development of the FSR system for ground application does not consider a rough environment and there is no advanced signal processing technique for the detection procedure, which have delayed the deployment of FSR. Therefore, this paper analyzes a signal processing technique that extracts the Doppler signal scattered from a moving target under the influence of ground clutter, receiver noise and surrounding noise. The scattered Doppler signal is processed for target detection. Two methods, namely the use of the Hilbert transform and wavelet technique, are evaluated. Results show that target detection using a Hilbert transform is applicable only for certain conditions but target detection employing the wavelet technique is more robust against clutter and noise. An inclusive comparison of various wavelet threshold selection rules for different types of wavelet filters and levels of decomposition is conducted to study the effect on target detection with FSR. Two sets of field experiments were carried out to validate the proposed method, and target signals under the influence of large clutter were successfully detected using the proposed method with a confidence level exceeding 75%.
Starting Page 2660
Ending Page 2672
Page Count 13
File Format PDF
ISSN 1674733X
Journal Science in China Series : Information Sciences
Volume Number 54
Issue Number 12
e-ISSN 18691919
Language English
Publisher SP Science China Press
Publisher Date 2011-12-03
Publisher Place Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword forward scattering radar signal denoising automatic target detection Information Systems and Communication Service
Content Type Text
Resource Type Article
Subject Computer Science
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