一种新的自适应窄带干扰抑制在直扩超宽带系统中的应用

梁中华; 朱世华; 王绍鹏

一种新的自适应窄带干扰抑制在直扩超宽带系统中的应用

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出版历程
- 收稿日期: 2005-12-26
- 修回日期: 2006-06-20
- 刊出日期: 2006-10-19

A Novel Adaptive Narrowband Interference Mitigation Scheme for DS-UWB Systems

摘要

摘要: 基于目标函数的最优化问题与求解线性方程组的等价性，该文针对直扩超宽带(DS-UWB)系统提出了一种新的自适应窄带干扰抑制方案。该方案把最优化模型转化为线性方程组的形式，并用一种有效的迭代方法即共轭梯度(Conjugate Gradient, CG)算法来实现自适应滤波。理论分析及计算机仿真结果表明，与现有的窄带干扰抑制方案相比，该文提出的方案具有更高的性价比，因此在低功耗、低成本及简易实用的室内超宽带应用场合，适合作为一种可选的折衷方案。
- 超宽带(UWB); 窄带干扰(NBI); 自适应滤波; 共轭梯度(CG)
Abstract: An adaptive NarrowBand Interference (NBI) suppression approach is proposed for DS-UWB systems. Based on the equivalence between the objective function optimization and linear equations, the proposed scheme translates the optimization model into linear equations and then performs adaptive filtering by employing an effective iterative method for linear equations, namely Conjugate Gradient (CG) algorithm. Theoretical analysis and simulation results show that, compared with the traditional NBI mitigation schemes, the proposed scheme can achieve a superior performance-to-cost ratio, and therefore can be considered as a compromised candidate for low cost, low power consumption and low complexity indoor UWB application scenarios.

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参考文献(1)

FCC. Revision of part 15 of the commissions rules regarding ultra-wideband transmission systems. Release, ET Docket 98- 153. Feb. 2003.[2]Boubaker N, Letaief K B. A low complexity MMSE-RAKE receiver in a realistic UWB channel and in the presence of NBI. IEEE WCNC 2003, New Orleans, Louisiana, United States, 2003: 233-237.[3]Chu Xiaoli, Murch R D. The effect of NBI on UWB time-hopping systems[J].IEEE Trans. on Wireless Communications.2004, 3(5):1431-[4]Bergel I, Fishler E, Messer H. Narrowband interference mitigation in impulse radio[J].IEEE Trans. on Communications.2005, 53(8):1278-1282[5]Li Qinghua, Rusch L A. Multiuser detection for DS-CDMA UWB in the home environment[J].IEEE Journal on Selected Areas in Communications.2002, 20(9):1701-1711[6]Boray G K, Srinath M D. Conjugate gradient techniques for adaptive filtering. IEEE Trans. on Circuits and Systems, 1992, 39(1): 1-10.[7]Haykin S. Adaptive Filter Theory. 4th ed. NJ: Prentice-Hall, 2002: 94-101, 231-235, 436-463.[8]Bonnans J F, et al.. Numerical Optimization: Theoretical and Practical Aspects. New York: Springer, 2003: 26-27.[9]Barth T, Manteuffel T. Multiple recursion conjugate gradient algorithms Part I: Sufficient conditions[J].SIAM Journal on Matrix Analysis and Applications.2000, 21(3):768-796[10]Pi Shengchang, Willson A N. Analysis of conjugate gradient algorithms for adaptive filtering[J].IEEE Trans. on Signal Processing.2000, 48(2):409-418[11]Poor H V, Verdu S. Probability of error in MMSE multiuser detection[J].IEEE Trans. on Information Theory.1997, 43(3):858-[12]Foerster J, et al.. Channel modeling sub-committee report final. IEEE P802.15 Wireless Personal Area Networks, P802.15- 02/490rl-SG3a, Feb.2003.

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