Least squares based post-integration filtering for robust digital LDI receivers

Scholand, Tobias; Jung, Peter

doi:10.1109/isspit.2003.1341246

Cited by 3 publications

(2 citation statements)

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“…Since the introduction of Bluetooth devices in the market, several receiver designs have been proposed in literature. The LDI-based designs in [47], [48], have only a slightly increased complexity; however, they offer only a slight increase in performance (< 1 dB). These include a receiver based on zero-crossing demodulation with a decorrelating matched filter [48], termed BT-ZXMF.…”

Section: Suboptimum Receiversmentioning

confidence: 99%

“…These include a receiver based on zero-crossing demodulation with a decorrelating matched filter [48], termed BT-ZXMF. Another design proposed by the same authors uses least squares-based post-integration filtering [47]. This approach is further extended in [49] by employing a max-log-maximum likelihood (MLM) symbol detection which involves a forward-backward algorithm on a 4-state trellis, and the resulting detector is termed MLM-LDI [49], [50].…”

Section: Suboptimum Receiversmentioning

confidence: 99%

See 1 more Smart Citation

Bluetooth Receiver Design Based on Laurent's Decomposition

Ibrahim¹,

Lampe²,

Schober³

2006

2006 IEEE International Conference on Communications

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Bluetooth is a widely used communication standard for wireless personal area networks (WPAN). The Bluetooth transmit signal is Gaussian frequency shift keying (GFSK) modulated. GFSK belongs to the family of continuous-phase modulation (CPM) signals, which achieve a good trade-off between power and bandwidth efficiency and, due to constant envelope modulation, allow for low-complexity transmitter implementation. Bluetooth devices often employ a simple discriminator receiver, which is highly suboptimum in terms of power efficiency compared to the optimum receiver. Other approaches proposed in the literature consider trellis-based detection using the Viterbi or forward-backward algorithm. These schemes achieve significant performance improvements over discriminator detectors while entailing a considerably higher computational complexity. The main challenges faced when designing a Bluetooth sequence detector is the varying modulation index, which results in a varying trellis structure, and the time-variant channel phase, making coherent detection which assumes perfect channel phase estimation an almost impossible task. In this research work, we present a receiver design for Bluetooth transmission based on Laurent's decomposition of the Bluetooth transmit signal. The main features of this receiver are its low-complexity compared to alternative solutions, its excellent performance close to the theoretical limit, and its high robustness against frequency offsets, phase noise, and modulation index variations, which are characteristic for lowcost Bluetooth devices. In particular, we show that the devised noncoherent decisionii m feedback equalization receiver achieves a similar performance as a recently proposed 2-state noncoherent sequence detector, while it is advantageous in terms of complexity. The new receiver design is therefore highly attractive for a practical implementation. Contents Abstract ii Contents iv List of Tables vii List of Figures viii Glossary xii 1 Introduction 1 1.1 The Evolution of the Bluetooth Technology 2 1.2 Challenges and Motivation 1.3 Contributions 6 1.4 Thesis Outline 2 Background 2.1 The Bluetooth System 2.1.1 Radio Front End 10 2.

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Section: Suboptimum Receiversmentioning

confidence: 99%