Performance of the Bluetooth system in fading dispersive channels and interference

Soltanian, A.; Dyck, R.E. Van

doi:10.1109/glocom.2001.966332

Cited by 41 publications

(16 citation statements)

References 8 publications

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“…3. For the channel modelling, the average root-mean-square (rms) of delay spread for a Bluetooth channel varies between 75 and 90 nsec for indoor and outdoor applications respectively, as authors of the work [12] reported. In the paper [11], the maximum rms delay spread for indoor and outdoors channels are also given 200 and 300 nsec respectively, by referencing some other studies.…”

Section: Wireless Channel Modelmentioning

confidence: 99%

Dynamic Look-Up-Table-Based Maximum a Posterior Probability Algorithm

Kahveci¹,

Kaya²,

Türk³

2007

Wireless Pers Commun

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In this paper, a Look-Up- Table (LUT) based calculation for implementing loglikelihood ratio (LLR) of the Maximum a Posterior (MAP) decoder is introduced and analysed. In the region of low signal to noise ratio, the analysed performances of turbo coding have been found very satisfying. However, when implementing the MAP turbo decoder, the required calculation for LLR is too complex prohibiting its applications. In order to reduce the complexity a dynamic-LUT based simplification is proposed whereas a static-LUT never converge the expectations, since the limited size and resolution of LUT dramatically degrade the performance. In order to maintain simplicity for a high performance implementation, a dynamic LUT, which has partial resolutions in separate decision regions and being re-calculated for further iterations of decoding, is proposed. One of the most important results obtained is that our proposed dynamic-LUT based MAP algorithm removes "ln(·)" process, which is the natural logarithm in LLR's calculation. Therefore, it reduces high computational complexity in the MAP algorithm with some reasonable performance degradations.

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Section: Wireless Channel Modelmentioning

confidence: 99%

Dynamic Look-Up-Table-Based Maximum a Posterior Probability Algorithm

Kahveci¹,

Kaya²,

Türk³

2007

Wireless Pers Commun

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“…A simple limiter-discriminator followed by integrate-anddump post-detection filtering [1], [4] is often employed in Bluetooth devices. The resulting receiver is called limiterdiscriminator with integrator (LDI) receiver.…”

Section: Introductionmentioning

confidence: 99%

“…The optimum GFSK demodulator is the trellis-based Viterbi decoder [1], [2], [3]. These designs always assume a certain nominal value for the modulation index h. However, the modulation index in Bluetooth is allowed to vary in a relatively large interval, leading to a varying trellis structure for sequence detection with possibly tremendous number of states.…”

Section: Introductionmentioning

confidence: 99%

Optimized differential Bluetooth demodulator

Yang

2009

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers

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Bluetooth is a short-range communication standard which employs Gaussian frequency shift keying (GFSK). The design of low-complexity and high-performance receivers for Bluetooth systems is a challenging task. In this paper, we develop an optimized differential GFSK demodulator and investigate the phase wrapping issue in its implementation. Simulation results show bit-error-rate (BER) performance improvement in comparison with conventional differential demodulators. We also compare our proposed demodulator with other existing alternatives in terms of BER performance and complexity.

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“…It exhibited a 6 dB improvement over the LDI but relied on a known exact modulation index. Other Bluetooth receivers deployed the Viterbi algorithm to search for the minimum Euclidean distance path through the state trellis [6] [7]; such receivers exhibited a high power efficiency but experience high computational complexity. These receivers also assume a nominal value of the modulation index.…”

Section: Introductionmentioning

confidence: 99%

A New GFSK Demodulation Technique using EKF in Bluetooth Receivers

Abdallah¹,

Nsour²,

Zohdy³

2015

International Journal of Advanced Research in Computer and Comm

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Bluetooth is a wireless technology that is widely used in consumer electronics and deployed in many industries due to its ease of use and low cost. Gaussian frequency shift keying (GFSK) is the modulation scheme used in Bluetooth receivers to achieve a basic data rate of 1 Mbps. In this article, a new non-coherent demodulation technique based on the Extended Kalman Filter (EKF) is presented to detect a GFSK modulated signal in Bluetooth receivers for AWGN channels. The bit error rate (BER), and Packet Error Rate (PER) were used as the performance metrics of the proposed receiver at both the physical and system levels. Simulation results show an improvement in the performance compared to other existing techniques presented in the literature.

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Performance of the Bluetooth system in fading dispersive channels and interference

Cited by 41 publications

References 8 publications

Dynamic Look-Up-Table-Based Maximum a Posterior Probability Algorithm

Dynamic Look-Up-Table-Based Maximum a Posterior Probability Algorithm

Optimized differential Bluetooth demodulator

A New GFSK Demodulation Technique using EKF in Bluetooth Receivers

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