Reduced Complexity Demodulation and Equalization Scheme for Differential Impulse Radio UWB Systems with ISI

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dc.creatorMa, Xudong
dc.date2008-09-04
dc.date2009-03-02
dc.date.accessioned2026-07-07T12:47:26Z
dc.date.available2026-07-07T12:47:26Z
dc.descriptionIn this paper, we consider the demodulation and equalization problem of differential Impulse Radio (IR) Ultra-WideBand (UWB) Systems with Inter-Symbol-Interference (ISI). The differential IR UWB systems have been extensively discussed recently. The advantage of differential IR UWB systems include simple receiver frontend structure. One challenge in the demodulation and equalization of such systems with ISI is that the systems have a rather complex model. The input and output signals of the systems follow a second-order Volterra model. Furthermore, the noise at the output is data dependent. In this paper, we propose a reduced-complexity joint demodulation and equalization algorithm. The algorithm is based on reformulating the nearest neighborhood decoding problem into a mixed quadratic programming and utilizing a semi-definite relaxation. The numerical results show that the proposed demodulation and equalization algorithm has low computational complexity, and at the same time, has almost the same error probability performance compared with the maximal likelihood decoding algorithm.
dc.descriptionCamera ready version. Several typos in the previous version have been fixed
dc.identifierhttps://arxiv.org/abs/0809.0908
dc.identifierhttp://arxiv.org/abs/0809.0908
dc.identifierProceeding of the IEEE Sarnoff Symposium, Princeton NJ, March 30 - April 1, 2009
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/221721
dc.subjectInformation Theory
dc.titleReduced Complexity Demodulation and Equalization Scheme for Differential Impulse Radio UWB Systems with ISI
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