Title :
Chirp-Like Jammer Excision in DSSS Communication Systems Using EMD Based Radon Wigner Distribution
Author :
Yuan Ye ; Mei Wen-bo ; Li Yi-qian
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
In this paper, the empirical mode decomposition (EMD) is employed for chirp-like jammer excision in direct sequence spread spectrum (DSSS) communication systems. According to the proposed method, the received signal is iteratively decomposed into intrinsic mode functions (IMFs); then we calculate Wigner distribution to IMF in order to yield time frequency spectrum, where the embedded jammer can be well localized in the time-frequency plane. With Radon transform applying to this time frequency spectrum, the parameters of the jammer is estimated and thus the jammer in time domain is restructed. The restructed jammer is excised from the received signal, and the excised signal goes through the detector for a decision. The performance of the proposed method is evaluated in the presence of chirp-like jammer plus Gaussian noise.
Keywords :
Gaussian noise; Radon transforms; Wigner distribution; iterative methods; jamming; signal detection; signal reconstruction; spread spectrum communication; time-frequency analysis; DSSS communication system; EMD-based Radon Wigner distribution; Gaussian noise; IMF; Radon transform; chirp-like jammer excision; direct sequence spread spectrum communication system; empirical mode decomposition; intrinsic mode function; iterative signal decomposition; signal detection; time-domain jammer restructuring; time-frequency spectrum; Chirp; Detectors; Frequency estimation; Gaussian noise; Jamming; Narrowband; Signal processing; Signal resolution; Spread spectrum communication; Time frequency analysis;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5302078