Design Criteria for Noncoherent Gaussian Channels with MFSK Signaling and Coding

Butman, S.; Bar-David, I.; Levitt, B. K.; Lyon, Richard F.; Klass, Michael J.

doi:10.1109/tcom.1976.1093213

Cited by 28 publications

(18 citation statements)

References 4 publications

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“…The modulation-constrained channel capacity of noncoherently detected binary FSK over an additive white Gaussian noise (AWGN) channel with a signal-to-noise ratio (SNR) of γ is [7] …”

Section: Performance Comparisonmentioning

confidence: 99%

Weighted random frequency hopping in the presence of narrowband interference

Saad

Marsland

2013

2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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Frequency hopping spread spectrum is an effective technique used to mitigate the effects of narrowband interference. Traditional random frequency hopping (RFH), which can be categorized as a channel ignorant scheme, gives worse performance than channel-aware schemes such as matched frequency hopping, clipped matched frequency hopping and advanced frequency hopping, in frequency selective fading channels. However, these channel-aware schemes are more easily disrupted by adaptive jammers. In this paper, a modified RFH scheme is proposed that enhances the performance of RFH in frequency selective fading channels while also providing better protection against jamming.

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“…The modulation-constrained channel capacity of noncoherently detected binary FSK over an additive white Gaussian noise (AWGN) channel with a signal-to-noise ratio (SNR) of γ is [7] …”

Section: Performance Comparisonmentioning

confidence: 99%

Weighted random frequency hopping in the presence of narrowband interference

Saad

Marsland

2013

2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo

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“…convolutional codes, are more appropriate to be used. For the latter, we use the relation between cutoff rate and predetection SNR to model the required power of the received signal, since cutoff rate is considered as a meaningful measure of the effective maximum rate for convolutional coding with sequential decoding [5].…”

Section: Received Snr Modelmentioning

confidence: 99%

“…These relations can be calculated as in [6] for MQAM and MPSK and [5] for noncoherent MFSK. They are shown in Fig.…”

Section: Received Snr Modelmentioning

confidence: 99%

A Comparison of Modulations for Energy Optimization in Wireless Sensor Network Links

Costa

Ochiai

2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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We study the energy consumption of individual links in wireless sensor networks (WSN). Three widely used digital modulation schemes, i.e. MQAM, MPSK, and MFSK, are analyzed and compared. Both transmitted signal power and circuit power consumptions are considered. For modeling the signal power, we use the relation between channel capacity or cutoff rate and signal to noise ratio (SNR). By numerical calculation, we find the optimized parameters for minimizing the energy consumption per information bit in a point-to-point wireless link.

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“…The channel capacity of M-ary orthogonal signaling is given by [2] (10) an evaluation of which requires a multidimensional integration. An upper bound which is easily computed by an one-dimensional numerical integration can be obtained by "unslotted signaling" in which a binary signaling with probability 11M to transmit "I" is performed in each coordinate.…”

Section: Channel Capacitymentioning

confidence: 99%

Turbo codes for incoherent M-ary orthogonal signaling

Chayat

Proceedings of 19th Convention of Electrical and Electronics Engineers in Israel

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Turbo codes, which were shown to attain excellent performance in a variety of situations, arc coupled in this article with M-ary orthogonal signaling. Orthogonal signaling enables to use tllOse codes on incoherently detected channels, such as uplink of a COMA system. The proposed codes are simulated on a variety of channels, including coherent A WGN, incoherently detected A WGN and fading channel with RAKE receiver. The simulated performance is compared with capacity computed for the corresponding cases and wilh results published on IS-95 COMA cellular system. For a block size of 195 bits a Frame Error Rate of 10. 2 was achieved at Ei/No=3.5 dB and Ei/No=7.3 dB on incoherently detected A WGN channel and on Rayleigh fading channel without diversity, respectively.

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Design Criteria for Noncoherent Gaussian Channels with MFSK Signaling and Coding

Cited by 28 publications

References 4 publications

Weighted random frequency hopping in the presence of narrowband interference

Weighted random frequency hopping in the presence of narrowband interference

A Comparison of Modulations for Energy Optimization in Wireless Sensor Network Links

Turbo codes for incoherent M-ary orthogonal signaling

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