A Novel Method for Sorting Radar Radiating-Source Signal Based on Ambiguity Function

Author

Han, Jun ; He, Ming-hao ; Zhu, Yuan-qing ; Zhu, Bin-gang

Volume

2

fYear

2009

fDate

25-26 April 2009

Firstpage

820

Lastpage

823

Abstract

Sorting rate of current methods is not high and too sensitive to the signal noise ratio (SNR), in order to solve this problem, a novel algorithm for sorting radar radiating-source signal is proposed. The ambiguity function of received signal is extracted and predigested to two-dimension characteristic, then decomposed into eight wavelet package transformation (WPT) characteristic parameters whose WPT₂ and WPT₅ have the best separability and be used as the sorting parameters at last. For ambiguity function of different signal is distinguishing and not sensitive to SNR, the WPT₂ and WPT₅ are divisible and steady. The advantage of this new method is validated by simulation result, and the lowest sorting rate is 90% at SNR=10 dB.

Keywords

radar signal processing; wavelet transforms; ambiguity function; signal extraction; signal noise ratio; sorting radar radiating-source signal; wavelet package transformation; Computer networks; Delay effects; Frequency shift keying; Packaging; Radar; Signal analysis; Signal to noise ratio; Sorting; Space vector pulse width modulation; Wireless communication; ambiguity function; radar signal; sorting;

fLanguage

English

Publisher

ieee

Conference_Titel

Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-4223-2

Type

conf

DOI

10.1109/NSWCTC.2009.342

Filename

4908595