DocumentCode :
2139976
Title :
Effect of Non-Appropriate Sampling on Radar Detection Algorithm
Author :
Abdalla, Essam ; Yi, Ren ; Shiyi, Mao
Author_Institution :
Beihang Univ., Beijing, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Many detection algorithms for received radar signals are based on Fast Fourier Transform (FFT) processing. The detection scheme for radar signals is affected by the prior knowledge of the Power Spectral Density (PSD), which is affected by non appropriate sampling. A performance comparison of two detectors based on frequency domain and changing place of sample namely periodogram and quadratic detectors, is presented, and analytic evaluation of the performance of these detectors supported by computer simulation is conducted. When the desired frequency is not in a bin of the discrete PSD, one standard technique to recover the peak is to add zeros (zero-fill). The performance measure utilized in this work is the Receiver Operating Characteristic (ROC), which measures the probability of detection with the probability of false alarm at different values of Signal to Noise Ratio (SNR). It is obvious that the performance will be degraded if there are estimation errors.
Keywords :
fast Fourier transforms; probability; radar detection; computer simulation; detection probability; fast Fourier transform processing; frequency domain; periodogram and quadratic detectors; power spectral density; radar detection algorithm; received radar signals; receiver operating characteristic; signal to noise ratio; Detection algorithms; Detectors; Fast Fourier transforms; Noise measurement; Radar detection; Radar signal processing; Sampling methods; Signal processing; Signal sampling; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303516
Filename :
5303516
Link To Document :
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