Detection of land-mines using ultra-wideband radar data and time–frequency signal analysis

2004 ◽  
Vol 151 (5) ◽  
pp. 307 ◽  
Author(s):  
G.C. Gaunaurd ◽  
L.H. Nguyen
Keyword(s):  
Signal Analysis ◽  
Radar Data ◽  
Ultra Wideband ◽  
Land Mines ◽  
Frequency Signal ◽  
Time Frequency ◽  
Wideband Radar

scholarly journals A Hybrid Model Based on Wavelet Decomposition-Reconstruction in Track Irregularity State Forecasting

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chaolong Jia ◽  
Lili Wei ◽  
Hanning Wang ◽  
Jiulin Yang
Keyword(s):  
Time Series ◽  
Signal Analysis ◽  
Wavelet Decomposition ◽  
Forecast Model ◽  
Practical Significance ◽  
Frequency Signal ◽  
Time Frequency ◽  
Simple Basis ◽  
Best Fitting ◽  
Track Irregularity

Wavelet is able to adapt to the requirements of time-frequency signal analysis automatically and can focus on any details of the signal and then decompose the function into the representation of a series of simple basis functions. It is of theoretical and practical significance. Therefore, this paper does subdivision on track irregularity time series based on the idea of wavelet decomposition-reconstruction and tries to find the best fitting forecast model of detail signal and approximate signal obtained through track irregularity time series wavelet decomposition, respectively. On this ideology, piecewise gray-ARMA recursive based on wavelet decomposition and reconstruction (PG-ARMARWDR) and piecewise ANN-ARMA recursive based on wavelet decomposition and reconstruction (PANN-ARMARWDR) models are proposed. Comparison and analysis of two models have shown that both these models can achieve higher accuracy.

Micro-Doppler processing for ultra-wideband radar data

2012 ◽  
Author(s):  
Graeme E. Smith ◽  
Fauzia Ahmad ◽  
Moeness G. Amin
Keyword(s):  
Radar Data ◽  
Ultra Wideband ◽  
Wideband Radar
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