Channel estimation in ACO-OFDM employing different transforms for VLC

Vappangi, Suseela; Vakamulla, Venkata Mani

doi:10.1016/j.aeue.2017.11.016

Cited by 21 publications

(12 citation statements)

References 18 publications

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“…The OWC system emerged to overcome the limitations imposed by the nature of radio‐frequency propagation in the wireless communication systems. Other advantages of OWC systems include [3–12]: The OWC systems operate in the unlicensed optical spectrum. The bandwidth of OWC system is continuously improving as a result of the frequent progress of light sources manufacturing technology. In fact, the LEDs and LDs are currently capable of providing several gaga bits per second of transmission rate. OWC systems often use low‐cost, inexpensive, small size, low power consumption, and low heat radiation optical components compared to traditional wireless communication systems. Immune to radio‐frequency interference occurring from as a result of electromagnetic radiations. OWC systems are known for being secured systems due to the direct sequence spread spectrum technique that can be utilised.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of OCDMA wireless communication system based on double length modified prime code for security improvement

Morsy

Alsayyar

2020

IET Communications

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Section: Introductionmentioning

confidence: 99%

Performance analysis of OCDMA wireless communication system based on double length modified prime code for security improvement

Morsy

Alsayyar

2020

IET Communications

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“…Above methods can achieve the modified Cramer-Rao bound (MCRB) under certain signal-to-noise ratio (SNR) conditions. Meanwhile, in literature, 12,13 the SNR threshold of the proposed frequency offset estimation algorithm is lower and the estimation accuracy is higher, but the estimation range is limited. In literature, 14 the estimation range is not limited by the length of the sample sequence, but the algorithm complexity and the SNR threshold are higher.…”

Section: Introductionmentioning

confidence: 99%

“…But, the accuracy of the algorithm is still limited by the length of the sample sequence and the computation complexity is increasing as well. Literature [12][13][14] propose a time domain frequency offset estimation algorithm based on maximum likelihood criterion, which can adopt data-aided (DA) and non-data-aided (NDA) methods. The frequency offset estimation is obtained by performing correlation calculation on the demodulated signal and using the different extremum decomposition methods.…”

Section: Introductionmentioning

confidence: 99%

A novel demodulation algorithm for VHF Data Broadcast signals in multi-sources augmentation navigation system

Zhao

Zhang

Shi

et al. 2020

International Journal of Distributed Sensor Networks

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The augmentation navigation system based on multi-source information fusion can significantly improve position accuracy, and the multi-source information is usually transmitted through VHF Data Broadcast . Aiming at the burst characteristics of VHF Data Broadcast, this article proposed a novel demodulation algorithm based on open-loop structure. When a VHF Data Broadcast burst is detected, the timing recovery should be finished first, and the value of cross-correlation between the timing-recovered signal and the local training symbol is calculated to complete the frame synchronization. Then, the data-aided and non-data-aided algorithms are used to estimate the frequency offset. Finally, the phase offset is estimated and the carrier synchronization is accomplished. The simulation results demonstrate that the proposed algorithm can quickly accomplished carrier synchronization without using feedback-loop structure, and the bit error rate is less than 10−4 when the signal-to-noise ratio is greater than 17 dB, which satisfy the requirement of receiving VHF Data Broadcast signals in augmentation navigation system. Therefore, the proposed algorithm can be used for receiving VHF Data Broadcast signals.

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“…To ensure a desired communication performance, signal-to-noise ratio (SNR) needs to be well estimated, since accurately estimating SNR value guarantees the adaptive adjusted communication rate, modulation and coding schemes [10,11]. In addition, the forward error correction coding and decoding code rate also requires real-time SNR estimation value.…”

Section: Introductionmentioning

confidence: 99%

Non Data-Aided SNR Estimation for UAV OFDM Systems

Liu

Tang

et al. 2020

Algorithms

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Signal-to-noise ratio (SNR) estimation is essential in the unmanned aerial vehicle (UAV) orthogonal frequency division multiplexing (OFDM) system for getting accurate channel estimation. In this paper, we propose a novel non-data-aided (NDA) SNR estimation method for UAV OFDM system to overcome the carrier interference caused by the frequency offset. First, an absolute value series is achieved which is based on the sampled received sequence, where each sampling point is validated by the data length apart. Second, by dividing absolute value series into the different series according to the total length of symbol, we obtain an output series by stacking each part. Third, the root mean squares of noise power and total power are estimated by utilizing the maximum and minimum platform in the characteristic curve of the output series after the wavelet denoising. Simulation results show that the proposed method performs better than other methods, especially in the low synchronization precision, and it has low computation complexity.

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Channel estimation in ACO-OFDM employing different transforms for VLC

Cited by 21 publications

References 18 publications

Performance analysis of OCDMA wireless communication system based on double length modified prime code for security improvement

Performance analysis of OCDMA wireless communication system based on double length modified prime code for security improvement

A novel demodulation algorithm for VHF Data Broadcast signals in multi-sources augmentation navigation system

Non Data-Aided SNR Estimation for UAV OFDM Systems

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