Notice of Removal BER Comparison of RS and BCH Coded OFDM Transmission over Noisy Channel

Katariya, Abhishek; Yadav, Amita; Jain, Neha; Tomar, Geetam Singh

doi:10.1109/cicn.2011.45

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…This work stated that other fading channels (Rayleigh and Rician) were capable of providing better performance in the MIMO system. Although, the coding technique was not implemented on MIMO equipped mobile ad hoc network, Katariva et al (2011) managed to implement the QPSK technique to enhance the system throughput of a working OFDM system by adding RS coding and OFDM in ad hoc network. It resulted in improving the energy performance of mobile devices by Veeranma, et al (2010).…”

Section: Spatial Multiplexing (Ofdm) Technique With Mimo Channelmentioning

confidence: 99%

Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network

Chowdhuri

Chakraborty

Dey

et al. 2014

International Journal of Service Science, Management, Engineering, and Technology

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Mobile ad hoc Network (MANET) and Multi Input Multi Output (MIMO) communication are emerging techniques in modern communication system. MIMO and MANET have various applications in the wireless communication system. This paper presents a survey on recent advancement of MIMO implemented mobile ad hoc network. A review of more than 40 papers on MIMO communication based mobile ad hoc network and most of the related topics is presented in this work. This paper shows the significant contribution in the field of MIMO communication and mobile ad hoc network. Previous works in this domain can be categorized into four major areas: (a) Mathematical modeling of MIMO channel and Ad hoc networks, (b) Physical Scattering Model of MIMO channel considering fading (c) Spatial multiplexing (OFDM) technique with MIMO channel, (d) Analysis of transmission efficiency of packet radio network. The review paper establishes the advancement in these four areas as well as recent changes in advance communication and networking environments.

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Section: Spatial Multiplexing (Ofdm) Technique With Mimo Channelmentioning

confidence: 99%

Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network

Chowdhuri

Chakraborty

Dey

et al. 2014

International Journal of Service Science, Management, Engineering, and Technology

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“…BCH code is cyclic codes and underlies in the class of linear block codes, also contains the message bit and the parity bit [20]. It can be used to correct the errors which are derived from the noise and the channel interference, especially the burst errors [21].…”

Section: The Encoder and Bit Interleavermentioning

confidence: 99%

Power-Aware Wireless Communication System Design for Body Area Networks

Wang¹,

An²,

Sodhro³

et al. 2013

ETSN

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With the explosive development of wireless communication and low power embedded techniques, Body Area Network (BAN) has opened up new frontiers in the race to provide real-time health monitoring. IEEE 802 has established a Task Group called IEEE 802.15.6 in November 2007 and aims to establish a communication standard optimized for low power, high reliability applied to medical and non-medical application for BANs. This paper overviews the path loss model and the communication scheme for implant-to-body surface channel presented by IEEE 802.15.6 standard. Comparing with the standard scheme where BCH (Bose-Chaudhuri-Hochquenghem) code is employing, we propose a new coding solution using convolutional code operating with Bit Interleaver based on the properties of implant-to-body surface channel. To analyze the performance of the two Error Correct Coding (ECC) schemes, we performed simulations in terms of Bit Error Rate (BER) and power consumption on MATLAB and FPGA platform, respectively. The simulation results proved that with appropriate constraint length, convolutional code has a better performance not only in BER, but also in minimization of resources and power consumption.

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“…FIR filters also find their use in decimation, a method used to reduce the number of elements in an input sequence and it merges every certain number of N samples into one. Some techniques also use distributed filtering theory for prediction, but its essence has grown weak over the years with the development of adaptive filtering theory [8][9][10] where filters adapt themselves according to the input signal. In this paper, filters in cascaded form have been used and signals captured have also been shown to demonstrate their effects.…”

Section: Introductionmentioning

confidence: 99%

Role of Biquad and Hilbert Filters in Removing Noise? A Simulink Analysis

Jha¹

2015

IJSIP

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Often some noise signals get interleaved with speech signals and owing to noisy surroundings the captured signal may not sound as desired. For such cases, a combination of Hilbert transform filter and Biquad filter in cascaded form might prove helpful. An arrangement in a simulink model demonstrates successful noise reduction in a voice signal recorded from a microphone. Both the filters used were of Direct Form structure, while the Hilbert filter was a Direct Form FIR, the Biquad was Direct Form II structure filter. The observations for speech signal as well as noise signals have been produced as results that show a significant noise removal.

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Notice of Removal BER Comparison of RS and BCH Coded OFDM Transmission over Noisy Channel

Cited by 4 publications

References 9 publications

Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network

Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network

Power-Aware Wireless Communication System Design for Body Area Networks

Role of Biquad and Hilbert Filters in Removing Noise? A Simulink Analysis

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