一种复数IIR自适应陷波器及其在QPSK扩频通信中的应用
被引量:2
A complex adaptive IIR notch filter used for the NBI suppression in QPSK spread spectrum communications
摘要
本文介绍一种改进的复数IIR自适应陷波器,用于QPSK扩频通信系统中的窄带强干扰抑制,给出了系数迭代的自适应算法和具体的理论分析,计算机仿真表明,改进后的IIR陷波器能有效的消除多个窄带强干扰,并且其稳定性能得到保证.
出处
《信号处理》
CSCD
2003年第z1期285-288,共4页
Journal of Signal Processing
参考文献6
-
1[1]S.C pei and C.C Tseng"Complex adaptive IIR notch filter algorithm and its applications,"IEEE Tans. Circuits SYSt. Ⅱvol.41 ,pp. 158-163,Feb. 1994.
-
2[2]Leslie A. Rusch Member, IEEE and H.Vincent Poor, Fellow, IEEE" Narrowband Interference Suppression in CDMA Spread Spectrum Communications" IEEE Translations on Communications,April 1994.
-
3[3]S.Nishimura, H.Y. JiangandT. Hinamoto,"performance analysis of complex adaptive IIR notch filters"in Proc. Fourth International Conference On Signal Processing pp.502-5051988
-
4[4]Hal-Yun Jiang Shotaro Nishimura Takao Hinamoto"Steady-state Analysis of Complex Adaptive IIR Notch Filter Algorithm and Its Applications to QPSK Communication Systems "IEEE Proceeding of ICSP 2000.
-
5[5]Soo-Chang Pei, senior Member, IEEE,and Chien-Cheng Tseng "Complex Adaptive IIR Notch Filter Algorithm and Its Applications" IEEE Trans.vol.41, NO.2, February 1994.
-
6[6]Peter Stoica and Arye Nehoraj "Performance analysis of an adaptive notch filter with constrained poles and zeros"IEEE Trans.vol.36 NO.6.June 1988.
同被引文献17
-
1王勇,田斌,向新,易克初.一种应用于限制零极点位置复数陷波器的迭代算法[J].信号处理,2007,23(1):6-9. 被引量:3
-
2陈开周.最优化计算方法[M].西安:西安电子科技大学出版社,1984.
-
3Yegui X,Rabab K W,Akira I. Performance Analysis of the Sign Algorithm for a Constrained Adaptive IIR Notch Filter[J]. IEEE Trans on Signal Processing,51 (7) :pp1846-1856,2003.
-
4Yegui X, Yoshiaki T, Yasuhiro K. A New Memoryless Nonlinear Gradient Algorithm for a Second-Order Adaptive IIR Notch Filter and Its Performance Analysis[J]. IEEE Trans on Circuits and Systems-II:Analog and Digital Signal Processing,45 (4) : pp462 - 472,1998.
-
5Pei S C, Tseng C. Complex adaptive IIR notch filter algorithm and its applications [ J ]. IEEE Trans. on Circuitsand systems-II: Analog and Digital Signal Processing. ,41(2) :pp. 158-163. 1994.
-
6Niedzwiecki M, Kaczmarek P. Adaptive notch filter for complex signals [ A ]. Proceedings of the International Conference on Signals and Electronic Systems [ C ]. Poland :ICSES. pp43 - 48,2002.
-
7Nishimura S, Hai-Yun J. Cascaded realization of complex adaptive IIR notch filters [DB/OL]. http://ieeexplore.ieee. org/ie14/5355/14484/00662169.pdf. 2004 - 8 - 21.
-
8Mvuma A, Hinamoto T, Nishimura S. Gradient-based algorithms for a complex coefficient adaptive IIR notch fiher steady-state analysis and application [ DB/OL ]. http ://ieeexplore.ieee. org/iel5/9366/29747/01354081.pdf.2004 -8 -20.
-
9Nishimura S, Hai-Yun J. Convergence analysis of complex adaptive IIR notch filters[DB/OL]. http://ieeexplore.ieee. org/ie13/4816/13390/00612788.pdf. 2004 - 8 - 22.
-
10Yaohui L, Diniz P S R, Laakso T I. Adaptive Steiglitz-McBride notch filter design for radio interference suppression in VDSL systems[DB/OL]. http ://ieeexplore. ieee.org/iel5/7633/20832/00965139.pdf. 2004 - 12 - 10.
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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