DocumentCode :
126394
Title :
Research on ionospheric phase decontamination for OTHR
Author :
Xue Li ; Rui Wang ; Dongsheng Yang ; Na Wei
Author_Institution :
China Res. Inst. of Radiowave Propagation, Qingdao, China
fYear :
2014
fDate :
16-23 Aug. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Ionospheric phase decontamination is a key step to detect ship targets for OTHR. A PGA algorithm based on adaptive clutter filter bandwidth extraction is proposed for small amplitude, slowly varying type phase contamination that can be used to solve clutter filter bandwidth selection. STFT-SPWVD joint time-frequency distribution suppression algorithm is proposed for large amplitude, slowly varying type phase contamination that is with high time-frequency coherence and low cross term. Polynomial phase modeling suppression algorithm based on adaptive order selection, which can quickly and accurately determine the order of the polynomial phase signal, is proposed for small amplitude, fast-changing type phase pollution. STFT-SPWVD and polynomial phase modeling based on adaptive order selection cascaded applications is proposed for large amplitude, fast-changing type phase pollution. The above all algorithms are verified to be effective by the simulation and experimental data.
Keywords :
Fourier transforms; Wigner distribution; bandwidth allocation; ionospheric disturbances; polynomials; radar clutter; radar detection; time-frequency analysis; OTHR; PGA algorithm; STFT-SPWVD joint time-frequency distribution suppression algorithm; adaptive clutter filter bandwidth extraction; adaptive order selection; clutter filter bandwidth selection; fast-changing type phase pollution; ionospheric phase decontamination; phase contamination; polynomial phase modeling suppression algorithm; polynomial phase signal; ship targets; time-frequency coherence; Adaptation models; Bandwidth; Clutter; Contamination; Pollution; Polynomials; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/URSIGASS.2014.6929760
Filename :
6929760
Link To Document :
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