Multiple Sub-intervals Integration Period Optimization for Noncoherent UWB-PPM Receiver in Sparse Multipath Channels

Wu Jian-jun; Liang Qing-lin; Xiang Hai-ge

doi:10.3724/SP.J.1146.2005.01607

Volume 29 Issue 9

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(9): 2168-2172

Wu Jian-jun, Liang Qing-lin, Xiang Hai-ge. Multiple Sub-intervals Integration Period Optimization for Noncoherent UWB-PPM Receiver in Sparse Multipath Channels[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2168-2172. doi: 10.3724/SP.J.1146.2005.01607

Citation:

Wu Jian-jun, Liang Qing-lin, Xiang Hai-ge. Multiple Sub-intervals Integration Period Optimization for Noncoherent UWB-PPM Receiver in Sparse Multipath Channels[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2168-2172. doi: 10.3724/SP.J.1146.2005.01607

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Multiple Sub-intervals Integration Period Optimization for Noncoherent UWB-PPM Receiver in Sparse Multipath Channels

doi: 10.3724/SP.J.1146.2005.01607 cstr: 32379.14.SP.J.1146.2005.01607

Received Date: 2005-12-13
Rev Recd Date: 2006-06-08
Publish Date: 2007-09-19

Abstract

Abstract

The non-coherent receiver is attractive for UWB system due to its implementation simplicity, which, however, is also accompanied with its performance degradation. As an effective optimization method, the integration interval selection is usually performed under the single-interval constraint among existed literatures, to the best knowledge of the authors, which not only results in large searching computation complexity but also could not reach the so-called optimal performance. In this paper, a multiple sub-intervals optimization method is proposed based on the derivation of closed-form BER performance expression of the non-coherent receiver and its corresponding modification under small time-bandwidth product condition. It is shown from the numerical results, that the BER performance of the multiple sub-intervals optimization method is obviously superior to the single-interval method, especially in those sparse multipath channels.

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References(1)

References

Weisenhorn M and Hirt W. Robust noncoherent receiver exploiting UWB channel properties. 2004 International Workshop on Joint UWBST IWUWBS, Kyoto, Japan, May 2004: 156-160.[2]Durisi G and Benedetto S. Performance of coherent and non-coherent receivers for UWB communications. ICC 2004, Paris, France, June 2004, vol.6: 3429-3433.[3]Paquelet S and Aubert L M. An energy adaptive demodulation for high data rates with impulse radio. 2004 IEEE Radio and Wireless Conference, Atlanta, USA, Sep. 2004: 323-326.[4]Sahin M E, Guvenc I, and Arslan H. Optimization of energy detector receivers for UWB systems. Proc. of IEEE VTC2005-Spring, Stockholm, Sweden, June 2005, vol.2: 1386-1390.[5]Akahori H, Shimazaki Y, and Kasamatsu A. Examination of the automatic integration time length selection system using PPM in UWB. 2004 International Workshop on Joint UWBST IWUWBS, Kyoto, Japan, May 2004: 268-272.[6]Chao Y L. Optimal integration time for UWB transmitted reference correlation receivers[J].Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, California, USA, Nov.2004, vol.1:647-651[7]Franz S and Mitra U. Integration interval optimization and performance analysis for UWB transmitted reference systems. 2004 International Workshop on Joint UWBST IWUWBS, Kyoto, Japan, May 2004: 26-30.[8]Molisch A F, Foerster J R, and Pendergrass M. Channel models for ultrawideband personal area networks[J].IEEE Wireless Communications Magazine.2003, 10(6):14-21[9]Urkowitz H. Energy detection of unknown deterministic signals[J].Proc. IEEE.1967, 55(4):523-531[10]吴建军，梁庆林，项海格. 非相干UWB-PPM接收机前置滤波器带宽的优化选择[J].电子与信息学报.2007, 29(9):2161-2167浏览

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