Conference Paper

Reduced-Rank Adaptive Least Bit Error-Rate Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems.

Dept. of Electr. Eng., Nat. Univ. of Comput. & Emerging Sci., Islamabad, Pakistan
DOI: 10.1109/ICC.2009.5199402 Conference: Proceedings of IEEE International Conference on Communications, ICC 2009, Dresden, Germany, 14-18 June 2009
Source: DBLP

ABSTRACT In this paper we consider the low-complexity detection in hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. A reduced-rank adaptive LBER detector is proposed, which is operated in the least bit error-rate (LBER) principles within a detection subspace obtained with the aid of the principal component analysis (PCA)- assisted reduced-rank technique. Our reduced-rank adaptive LBER detec- tor is free from channel estimation and does not require the knowledge about the number of resolvable multipaths as well as that about the multipaths' strength. In this paper the bit error-rate (BER) performance of the hybrid DS-TH UWB system is investigated, when communicating over the UWB channels modelled by the Saleh-Valenzuela (S-V) channel model. Our study and simulation results show that this reduced-rank adaptive LBER detector constitutes a feasible detection scheme for deployment in practical pulse-based UWB systems. estimation. It achieves its near-optimum detection with the aid of a training sequence at the start of communication and then main- tains its near-optimum detection based on the decision-directed (DD) principles during the communication (9). The reduced-rank adaptive LBER detector does not require the knowledge about the number of resolvable multipaths as well as that about the locations of the strong resolvable multipaths; It only requires the knowledge (which is still not necessary accurate) about the maximum delay-spread of the UWB channels. Furthermore, the reduced-rank adaptive LBER detector is operated in a reduced-rank detection subspace obtained based on the principal component analysis (PCA) (10). The detection subspace usually has a rank that is significantly lower than that of the original observation space. Owing to the above-mentioned properties of the reduced-rank adaptive LBER detector, we can argue that it is a low-complexity detection scheme, which is feasible for practical

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