Noncoherent sequence detection receiver for Bluetooth systems

Lampe, Lutz; Schober, Robert; Jain, Manish

doi:10.1109/jsac.2005.853791

Cited by 28 publications

(31 citation statements)

References 35 publications

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“…The BER performance is compared for different values of phase noise standard deviation σ ∆ . We can observe that the proposed algorithm performs better than that in [9] and, when the value of σ ∆ is low, it performs quite close to the receiver which perfectly knows the modulation index and the channel phase (also shown in the figure).…”

Section: Simulation Resultsmentioning

confidence: 76%

“…2, we compare the performance of the proposed algorithm with that of the noncoherent detector in [9]. In this latter case, the modulation index is estimated using an estimation period of N e = 50 symbols and parameters α and β described in [9] have been optimized by simulations. The BER performance is compared for different values of phase noise standard deviation σ ∆ .…”

Section: Simulation Resultsmentioning

confidence: 99%

“…As an example, in [9], a noncoherent receiver for the Gaussian frequency shift keying (GFSK) signal adopted in the Bluetooth standard is proposed. This receiver can tolerate only a relatively small modulation index deviation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Detection of Binary CPMs With Unknown Modulation Index

et al. 2015

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Abstract-We consider soft-output detection of a binary continuous phase modulation (CPM) generated through a low-cost transmitter, thus characterized by a significant modulation index uncertainty, and sent over a channel affected by phase noise. The proposed detector is designed by adopting a simplified representation of a binary CPM signal with the principal component of its Laurent decomposition and is obtained by using the framework based on factor graphs and the sum-product algorithm. It does not require an explicit estimation of the modulation index nor of the channel phase and is very robust to large uncertainties of the nominal value of the modulation index. Being soft-output in nature, this detector can be employed for iterative detection/decoding of practical coded schemes based on a serial concatenation, possibly through a pseudo-random interleaver, of an outer encoder and a CPM modulation format.

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Section: Simulation Resultsmentioning

confidence: 76%

Section: Simulation Resultsmentioning

confidence: 99%

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Robust Detection of Binary CPMs With Unknown Modulation Index

et al. 2015

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“…The paper in [8] presents an improvement on the GFSK modulation method by using maximum likelihood sequence estimation (MLSE), based on a linearized model of the modulation. Furthermore, the authors were dedicated to evolving a scheme that had MLSE-oriented detection using the Viterbi equalizer considering a GFSK inherent inter symbol interference (ISI), with the channel gain sensitivity of 0 -7 dB.…”

mentioning

confidence: 99%

Robust Non-Coherent Demodulation Scheme for Bluetooth Voice Transmission Using Linear, Extended, and Unscented Kalman Filtering

Alghamdi¹,

Ali²,

Zohdy³

2015

JSIP

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“…Furthermore, our results suggest that the performance of the differential detectors is quite close to the ML coherent receiver at small values of h, making them an attractive choice for bandwidth-limited systems. Alternatively, noncoherent detectors [15], [16] can be employed where the information is estimated in the presence of phase uncertainty.…”

mentioning

confidence: 99%

Capacity-Based Parameter Optimization of Bit-Interleaved Coded CPM With Differential Detection

Seshadri

Valenti

2008

IEEE Trans. Veh. Technol.

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Abstract-The design of bit-interleaved coded continuous phase modulation (CPM) is characterized by the code rate, alphabet size, modulation index, and pulse shape. This paper outlines a methodology for determining the optimal values of these parameters under bandwidth and receiver complexity constraints. The cost function that is used to drive the optimization is the informationtheoretic minimum E b /N 0 , which is found by evaluating the constrained channel capacity. The capacity can be estimated using Monte Carlo integration. A search for optimal parameters is conducted over a range of coded CPM parameters, bandwidth efficiencies, and channels. To limit complexity and allow any modulation index to be considered, the receiver is constrained to use a soft-output differential phase detector. Bit error rate curves using a binary turbo code confirm that the constrained capacity is a very good indicator of the performance of the complete system. Index Terms-Bit-interleaved coded modulation (BICM), capacity, continuous phase modulation (CPM), differential phase detector.

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Noncoherent sequence detection receiver for Bluetooth systems

Cited by 28 publications

References 35 publications

Robust Detection of Binary CPMs With Unknown Modulation Index

Robust Detection of Binary CPMs With Unknown Modulation Index

Robust Non-Coherent Demodulation Scheme for Bluetooth Voice Transmission Using Linear, Extended, and Unscented Kalman Filtering

Capacity-Based Parameter Optimization of Bit-Interleaved Coded CPM With Differential Detection

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