A Novel Differential Detection for Differential OFDM Systems With High Mobility

Zhang, Liang; Hong, Zhihong; Wu, Yiyan; Boudreau, Richard; Thibault, Louis

doi:10.1109/tbc.2015.2459656

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…In MFN each transmitter will therefore illuminate its own area, and its signal will not add up with the other transmitters’ signals, causing the received E MFN to be equal to the strongest contribution arriving from any of the individual transmitters, as in Equation (1). A single-frequency network, in turn, as defined in [ 4 ], is a network of synchronized transmitters radiating the same MUX in the same physical radio channel (with the center frequency f 1 in Figure 1 c). Due to the simultaneous reception from multiple transmitters, operating at the same frequency channel, an effective coverage is thus expectedly higher by a factor known as the “SFN gain”, as defined in Equation (2) and shown in Figure 1 c as a dark grey area surrounding individual coverages obtained in MFN.…”

Section: The Concept and Benefits Of The Single Frequency Networkmentioning

confidence: 99%

“…Some major literature contributions relating to the aforementioned topics include a study [ 3 ] in which the average SFN gain was determined to equal 1.1 dB with a standard deviation of 3.3 dB, the values obtained for an exemplary DVB-H network located in Ghent (Belgium). In [ 4 ], a decision-directed detection was proposed for compensating the channel variation of global services, thus making the global channel estimate available on the receiver side for every OFDM symbol carrying global services. Based on this proposal, in [ 5 , 6 ] the authors recommended the use of a method called “local service insertion”, which allows for the provision of local services in wide-area SFNs (an option unavailable in the original version of DAB system).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Single Frequency Network Gain in Digital Audio Broadcasting Networks

Staniec

2021

Sensors

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The single frequency network (SFN) is a popular solution in modern digital audio and television system networks for extending effective coverage, compared to its traditional single-transmitter counterpart. As benefits of this configuration appear to be obvious, this paper focuses on the exact analysis of so-called SFN gain—a quantitative effect of advantage in terms of the received signal strength. The investigations cover a statistical analysis of SFN gain values, obtained by means of computer simulations, with respect to the factors influencing the coverage, i.e., the protection level, the reception mode (fixed, portable, mobile), and the receiver location (outdoor, indoor). The analyses conclude with an observation that the most noteworthy contribution of the SFN gain is observed on the far edges of the networks, and the least one close to the transmitters. It is also observed that the highest values of the SFN gain can be expected in the fixed mode, while the protection level has the lowest impact.

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Section: The Concept and Benefits Of The Single Frequency Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Single Frequency Network Gain in Digital Audio Broadcasting Networks

Staniec

2021

Sensors

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“…In such systems, the information is embedded in the phase difference between adjacent symbols, and hence, differential encoding is needed. Although differential detection is only 3 dB worse than coherent detection in flat fading channels, its performance may deteriorate significantly in frequency-selective channels [34], [35]. Consequently, Wu and Kam [36] proposed a generalized likelihood ratio test (GLRT) receiver whose performance without CSI is comparable to the coherent detector.…”

Section: B Related Workmentioning

confidence: 99%

Direct Data Detection of OFDM Signals Over Wireless Channels

Saci

Al-Dweik

Shami

2020

IEEE Trans. Veh. Technol.

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This paper presents a novel efficient receiver design for wireless communication systems that incorporate orthogonal frequency division multiplexing (OFDM) transmission. The proposed receiver does not require channel estimation or equalization to perform coherent data detection. Instead, channel estimation, equalization, and data detection are combined into a single operation, and hence, the detector performs a direct data detector (D 3). The D 3 is applied to key practical wireless systems such as the Long Term Evolution (LTE) and the New Radio (NR) of the fifthgeneration (5G) system. The performance of the proposed D 3 is thoroughly analyzed theoretically in terms of bit error rate (BER), where closed-form accurate approximations are derived for several cases of interest, and validated by Monte Carlo simulations. Moreover, extensive complexity analysis are performed to evaluate the system suitability for implementation. The obtained theoretical and simulation results demonstrate that the BER of the proposed D 3 is only 3 dB away from coherent detectors with perfect knowledge of the channel state information (CSI) in flat and frequency-selective fading channels for a wide range of signal-to-noise ratios (SNRs). If CSI is not known perfectly, then D 3 outperforms the coherent detector substantially, particularly at high SNRs with linear interpolation. The computational complexity of D 3 depends on the length of the sequence to be detected, nevertheless, a significant complexity reduction can be achieved using the Viterbi algorithm.

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“…In such systems, the information is embedded in the phase difference between adjacent symbols, and hence, differential encoding is needed. Although differential detection is only 3 dB worse than coherent detection in flat fading channels, its performance may deteriorate significantly in frequency-selective channels [29], [30]. Consequently, Wu and Kam [31] proposed a generalized likelihood ratio test (GLRT) receiver whose performance without CSI is comparable to the coherent detector.…”

Section: Introductionmentioning

confidence: 99%

Direct Data Detection of OFDM Signals Over Wireless Channels

Saci¹,

Al-Dweik²,

Shami³

2019

Preprint

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This paper presents a novel efficient receiver design for wireless communication systems that incorporate orthogonal frequency division multiplexing (OFDM) transmission. The proposed receiver does not require channel estimation or equalization to perform coherent data detection. Instead, channel estimation, equalization, and data detection are combined into a single operation, and hence, the detector is denoted as a direct data detector (D 3 ). The performance of the proposed system is thoroughly analyzed theoretically in terms of bit error rate (BER), and validated by Monte Carlo simulations. The obtained theoretical and simulation results demonstrate that the BER of the proposed D 3 is only 3 dB away from coherent detectors with perfect knowledge of the channel state information (CSI) in flat fading channels, and similarly in frequencyselective channels for a wide range of signal-to-noise ratios (SNRs). If CSI is not known perfectly, then the D 3 outperforms the coherent detector substantially, particularly at high SNRs with linear interpolation. The computational complexity of the D 3 depends on the length of the sequence to be detected, nevertheless, a significant complexity reduction can be achieved using the Viterbi algorithm.

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A Novel Differential Detection for Differential OFDM Systems With High Mobility

Cited by 5 publications

References 22 publications

Analysis of the Single Frequency Network Gain in Digital Audio Broadcasting Networks

Analysis of the Single Frequency Network Gain in Digital Audio Broadcasting Networks

Direct Data Detection of OFDM Signals Over Wireless Channels

Direct Data Detection of OFDM Signals Over Wireless Channels

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