Differential detection of GMSK using decision feedback

Yongaçoğlu, Abbas; Makrakis, Dimitrios; Feher, K.

doi:10.1109/26.2784

Cited by 81 publications

(29 citation statements)

References 5 publications

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“…Once this is done and the values of X,, (6) are available, the computation of the timing and phase estimates becomes a trivial task. In the next Section we discuss the maximization of A ( 3 ) and some approximations that help reducing the computing load.…”

Section: Jlmentioning

confidence: 99%

Feedforward Synchronization Schemes for MSK‐Type Signals

D’Amico

D’Andrea

Mengali

1999

Trans Emerging Tel Tech

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Abstract. Feedforward algorithms are investigated for estimating carrier frequency, carrier phase and symbol timing in MSK-type modulations. Their derivation is based on maximum likelihood criteria and leads to synchronization schemes that are suitable for full digital implementation. The operation of these algorithms is decoupled, meaning that the frequency parameter is measured first and independently of the others. Subsequently, phase and timing are computed through simple formulas. The performance of the proposed algorithms is investigated analytically and by simulation and the results are compared with Cramer-Rao bounds. It turns out that the estimation accuracy is very close to the theoretical limits. The frequency estimation range is in the order of 20% of the symbol rate for MSK and 10% for GMSK. A frequency estimation threshold lower that 4 dB is achieved with fairly short observation windows.

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Section: Jlmentioning

confidence: 99%

Feedforward Synchronization Schemes for MSK‐Type Signals

D’Amico

D’Andrea

Mengali

1999

Trans Emerging Tel Tech

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“…As is common in the literature [17], we assume that the design parameter f c T is selected to be an integer, in which case, the received phase differences can be found by computing…”

Section: Differential Front Endmentioning

confidence: 99%

“…In traditional differential detectors such as those described in [14], [17], and [18], hard symbol decisions are made by comparing ∆φ k , as given in (15), to some threshold. Such a symbol-by-symbol detector is suboptimal for two reasons.…”

Section: Soft-output Back Endmentioning

confidence: 99%

“…Section II deals with the system model, including a description of softoutput differential detection of CPM signals using what we call the soft-output soft-decision differential phase detector (SO-SDDPD). This detector differs from traditional hardoutput differential detectors [14], [17], [18] and Fonseka's [19] original soft-decision differential phase detector reference, as our detector produces bit-wise log-likelihood ratios (LLRs), which are the required outputs for the composite binary channel over which the mutual information is measured. Section III describes the methodology for finding the capacity under BICCPM constraints.…”

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confidence: 99%

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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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“…Thus, it is still important to analyze the performance of noncoherent demodulation system. The Decision Feedback (DF) algorithm [2] is broadly used in Differential Detection of Gaussian Minimum Shift Keying (DDGMSK) system for its lower implementation complexity.…”

Section: Introductionmentioning

confidence: 99%

BER analysis of a GMSK system using decision feedback

Pei

2008

J. Electron.(China)

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There are considerable literatures on the Bit Error Rate (BER) evaluation of Differential Detection of Gaussian Minimum Shift Keying (DDGMSK) system using Decision Feedback (DF), but most of them give the performance based on the Monte Carlo Error Counting (MCEC) technique. From the probability distribution of the phase angle between two vectors perturbed by Gaussian noises, the formulae of BER are derived for the performance analysis of DDGMSK system with DF in this letter. Considering the m-bit dock-tailed sequence, the new formulae of Gaussian Minimum Shift Keying (GMSK) modulated phase and the Time-Varying Signal to Noise Ratio (TVSNR) of the demodulated signal are presented, and it is proved that the relationship between the TVSNR of the demodulated signal and the size of eye opening is not inevitable. Simulation results show that the theoretical investigation gives analogous results with the MCEC technique. The formulae presented are useful for the performance analysis of systems using GMSK as modulating and demodulating method, for instance, the analysis of synchronous performance of frequency-hopping communication system.

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Differential detection of GMSK using decision feedback

Cited by 81 publications

References 5 publications

Feedforward Synchronization Schemes for MSK‐Type Signals

Feedforward Synchronization Schemes for MSK‐Type Signals

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

BER analysis of a GMSK system using decision feedback

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