Analysis of BER in OFDM using Wavelet and FFT based Method

S, Sheela M; Surekha, T. P.; Arjun, K R

doi:10.1109/ctceec.2017.8455191

Cited by 5 publications

(3 citation statements)

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“…Main idea is to divide large bandwidth into smaller chunks and perform narrowband signals. Some advantage, there are take care of inter-symbol interference (ISI), able to multiplexing subcarriers (OFDM) and signal processing become more extremely efficient [12][13][14].…”

Section: F Multicarrier Modulationmentioning

confidence: 99%

Optimize BER Offset QPSK Baseband Modulation-Demodulation featuring AWGN and OFDM

Adhiguna

Nugroho

Wibowo

2022

JEEICT

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<p class="Abstract">In communication system, being fastest not always the best option because of much great error probabilities. Complex architecture also cost high for the component maintenances. An optimal OQPSK modem is provide for friendly use and affordable model in academic purposes. The proposed method is moderate way with twice data size than the conventional method, but error calculation is exactly constant. Good and optimal BER measurements from simulated binary data useful for academic learning purpose. <em></em></p>

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Section: F Multicarrier Modulationmentioning

confidence: 99%

Optimize BER Offset QPSK Baseband Modulation-Demodulation featuring AWGN and OFDM

Adhiguna

Nugroho

Wibowo

2022

JEEICT

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“…DWT and inverse discrete wavelet transform (IDWT) are used in OWDM [38,39]. is replacement is due to its properties such as orthonormality [40][41][42] and the ability to decompose signals effectively in the time-frequency domains by scaling and shifting. In DWT, the scaling (j) and shifting (k) results are generated by the mother wavelet denoted by Ψ as a function of time (t) and mathematically expressed in the following equation:…”

Section: Owdm System Modelmentioning

confidence: 99%

A New Approach for Enhancing the Services of the 5G Mobile Network and IOT-Related Communication Devices Using Wavelet-OFDM and Its Applications in Healthcare

Raji

Haq

et al. 2020

Scientific Programming

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The heart of the current wireless communication systems (including 5G) is the Fourier transform-based orthogonal frequency division multiplex (OFDM). Over time, a lot of research has proposed the wavelet transform-based OFDM as a better replacement of Fourier in the physical layer solutions because of its performance and ability to support network-intensive applications such as the Internet of Things (IoT). In this paper, we weigh the wavelet transform performances against the future wireless application system requirements and propose guidelines and approaches for wavelet applications in 5G waveform design. This is followed by a detailed impact on healthcare. Using an image as the test data, a comprehensive performance comparison between Fourier transform and various wavelet transforms has been done considering the following 5G key performance indicators (KPIs): energy efficiency, modulation and demodulation complexity, reliability, latency, spectral efficiency, effect of transmission/reception under asynchronous transmission, and robustness to time-/frequency-selective channels. Finally, the guidelines for wavelet transform use are presented. The guidelines are sufficient to serve as approaches for tradeoffs and also as the guide for further developments.

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“…The popularity of wavelets is primarily due to their interesting structures, which can provide perfect time-frequency localization (TFL) characteristics. A few investigators have begun to exploit these time-domain and frequency-domain features of wavelets for application in wireless communication systems [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation Based on IOTA Filter in OFDM/OQPSK and OFDM/OQAM Systems

2019

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In this paper, we present a study of bit error rate (BER) for orthogonal frequency division multiplexing/offset quadrature phase shift keying (OFDM/OQPSK) and OFDM/offset quadrature amplitude modulation (OQAM) systems with an isotropic orthogonal transfer algorithm (IOTA) filter. The novel noise suppression method based on an IOTA filter is proposed to reduce the error of channel estimation caused by additive white Gaussian noise (AWGN). The OFDM/OQPSK and OFDM/OQAM systems do not insert the guard interval (GI) and pilots in the signal frames, thus they possess transmission efficiency. An analysis was carried out for convolutional coded OFDM/OQPSK and OFDM/OQAM systems in Rayleigh fading channels with generator polynomials and constraint lengths. Compared with conventional OFDM/QPSK and OFDM/QAM systems with the insertion of comb-type pilots, the proposed IOTA filter-based channel estimation method can provide significant energy per bit to time-varying noise power spectral density ratio gains over time and frequency-selective propagation Rayleigh fading channels in OFDM/OQPSK and OFDM/OQAM systems.

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Analysis of BER in OFDM using Wavelet and FFT based Method

Cited by 5 publications

References 0 publications

Optimize BER Offset QPSK Baseband Modulation-Demodulation featuring AWGN and OFDM

Optimize BER Offset QPSK Baseband Modulation-Demodulation featuring AWGN and OFDM

A New Approach for Enhancing the Services of the 5G Mobile Network and IOT-Related Communication Devices Using Wavelet-OFDM and Its Applications in Healthcare

Channel Estimation Based on IOTA Filter in OFDM/OQPSK and OFDM/OQAM Systems

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