Title :
A wideband pulse detection algorithm based on autocorrelation
Author :
Simin, Zou ; Deguo, Zeng ; Bin, Tang
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
An improved autocorrelation algorithm aiming at digital wideband pulse detection is proposed in this paper. Absolute values of the signal amplitude are calculated for autocorrelation function. Then we compare autocorrelation result with threshold to determine the time of arrival (TOA) and pulse width. Measurement accuracies of the optimal thresholds under different signal-to-noise ratios (SNR) are discussed and the algorithm is implemented on FPGA. The simulations show the algorithm has good detection performance in real-time processing environment.
Keywords :
correlation methods; pulse width modulation; radar detection; time-of-arrival estimation; autocorrelation algorithm; digital wideband pulse detection algorithm; pulse width estimation; radar signal detection; signal amplitude; signal-to-noise ratio; time-of-arrival estimation; Autocorrelation; Detection algorithms; Frequency estimation; Pulse measurements; Pulse modulation; Reconnaissance; Signal processing algorithms; Signal to noise ratio; Space vector pulse width modulation; Wideband; TOA estimation; autocorrelation algorithm; pulse width estimation; wideband pulse detection;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274088