Blind Channel Estimation Using Cooperative Subcarriers for OFDM Systems

Saci, Anas; Shami, Abdallah; Al-Dweik, Arafat

doi:10.1109/icc.2018.8422355

Cited by 3 publications

(5 citation statements)

References 23 publications

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“…As can be noted from the figure, the D 3 noticeably outperforms all other detectors for SNR 15 dB, which indicates that the D 3 is more robust to the frequency selectivity of the channel. Moreover, the figure shows the D 3 BER using VA which, as expected, is identical to the BER obtained using (11). It is worth noting that all the systems considered in the figure are implemented using the DS segment where K = 7, and thus, they are evaluated under similar throughput conditions.…”

Section: Numerical Resultssupporting

confidence: 64%

“…As can be noted from (11), the estimated data sequence d can be obtained without the knowledge of H. Moreover, there is no requirement for the channel coefficients over the considered sequence to be equal, and hence, the D 3 should perform fairly well even in frequency-selective fading channels.…”

Section: Proposed D 3 System Modelmentioning

confidence: 99%

“…Nevertheless, it can be noted that (11) does not have a unique solution because d and −d can minimize (11). To resolve the phase ambiguity problem, one or more pilot symbols can be used as a part of the sequence d. In such scenarios, the performance of the D 3 will be affected indirectly by the frequency selectivity of the channel because the capability of the pilot to resolve the phase ambiguity depends on its fading coefficient.…”

Section: Proposed D 3 System Modelmentioning

confidence: 99%

“…By noting that the expression in (11) corresponds to the sum of correlated terms, which can be modeled as a first-order Markov process, then MLSD techniques such as the VA can be used to implement the D 3 efficiently. For example, the trellis diagram of the VA with binary phase shift keying (BPSK) is shown in Fig.…”

Section: A the Viterbi Algorithm (Va)mentioning

confidence: 99%

See 3 more Smart Citations

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.

show abstract

Section: Numerical Resultssupporting

confidence: 64%

Section: Proposed D 3 System Modelmentioning

confidence: 99%

Section: Proposed D 3 System Modelmentioning

confidence: 99%

Section: A the Viterbi Algorithm (Va)mentioning

confidence: 99%

See 2 more Smart Citations

Direct Data Detection of OFDM Signals Over Wireless Channels

Saci¹,

Al-Dweik²,

Shami³

2019

Preprint

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show abstract

“…1) Initialize the path metrics 1 →d = 1, and n is the next symbol index using the same mapping as m. 4) Compute the path metrics using the following rules, (16) 5) Track the surviving paths, 2 paths in the case of BPSK. 6) Increase the counter, c = c + 1.…”

Section: A the Viterbi Algorithm (Va)mentioning

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.

show abstract

LoRa Signal Monitoring System of Multi-Node Software Define Radio

Zhao

Wang

2020

2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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Blind Channel Estimation Using Cooperative Subcarriers for OFDM Systems

Cited by 3 publications

References 23 publications

Direct Data Detection of OFDM Signals Over Wireless Channels

Direct Data Detection of OFDM Signals Over Wireless Channels

Direct Data Detection of OFDM Signals Over Wireless Channels

LoRa Signal Monitoring System of Multi-Node Software Define Radio

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