FPGA Based High Speed BCH Encoder for Wireless Communication Applications

Mehra, Rajesh; Saini, Garima; Singh, Sukhbir

doi:10.1109/csnt.2011.123

Cited by 11 publications

(12 citation statements)

References 2 publications

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“…As shown by fig.2, the width of central lobe after Hamming window [2,3,5,6] is much wider whereas in case of Hanning window it is reduced by a very small amount. From simulated output it is observe that performance of Blackman window contributes into much steeper curve as compared to other two windows.…”

Section: Windowingmentioning

confidence: 83%

“…Window Techniques [2,3] represents a function that is well known as Window Function or Tapering Function. This function states that application of Window over certain definite interval results in some finite and non-zero values inside that particular interval whereas it contains zero values outside that interval.…”

Section: Window Techniquesmentioning

confidence: 99%

“…Various Digital signal processing tools are used to maintain this power level of transmitted signal; the window techniques are most powerful solution to keep control over various parameters of signal so that its power level can be retained up to desired value. This paper presents comparative analysis of Hamming, Hanning and Blackman window [2,3] for audio signal processing. To judge their performance, some Matlab based simulations are performed for calculation of power spectral density of speech signal using different windows and with the help of Fast Fourier Transform, total power contained by each signal is calculated.…”

Section: Introductionmentioning

confidence: 99%

“…Human voice is in analog form but real time applications demand digital version of this data because it offers easy analysis, demands less storage space and can be transmitted up to longer distances with more security using various encryption-decryption [2] techniques. For analyzing performance of any audio signal over digital systems, the first most requirements is to convert analog information into some frames that can be passed through window function in order to judge its various parameters.…”

Section: Introductionmentioning

confidence: 99%

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Power Spectral Density Analysis of Speech Signal using Window Techniques

Saini¹,

Mehra²

2015

IJCA

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In this paper a comparative analysis of speech signal is performed using different window techniques. As each communication system consists of three major parts that are transmitter, receiver and channel. The level of power transmitted from transmitter end decides its ability to travel up to longer distance with minimum distortion. For analysis, first of all a signal out of audio frequency range is selected and then a small portion of this signal is extracted using framing technique. The resulting signal frame is passed through Hamming, Hanning and Blackman window and their respective power spectral densities are calculated. To analyze power content of signal Fast Fourier Transform is used. It can be obtained from the simulated results that Blackman window contains almost double power as compared to Hamming and Hanning window.

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Section: Windowingmentioning

confidence: 83%

Section: Window Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Power Spectral Density Analysis of Speech Signal using Window Techniques

Saini¹,

Mehra²

2015

IJCA

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“…An (n,k) binary BCH code encodes k-bits message into n-bits code word. The message vector can be expressed in a polynomial form as follows [6]:…”

Section: Bch Encodermentioning

confidence: 99%

FPGA Implementation of 3 bits BCH Error Correcting Codes

Mohammed¹,

Abdulsada²

2013

IJCA

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This paper describes the prototyping of a BCH (Bose, Chaudhuri, and Hocquenghem) code using a Field Programmable Gate Array (FPGA) reconfigurable chip. BCH code is one of the most important cyclic block codes. Designing on FPGA leads to a high calculation rate using parallelization (implementation is very fast), and it is easy to modify. BCH encoder and decoder have been designed and simulated using MATLAB, Xilinx-ISE 10.1 Web PACK and implemented in a xc3s700a-4fg484 FPGA. In this implementation we used 15 bit-size code word and 5 bits data, any 3 bits error in any position of 15 bits has been corrected. The results show that the system works quite well.

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A Low Error Rate BCH-Based Encoder-Decoder Approach for Electromagnetic Measurement While Drilling System

et al. 2019

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In practical applications of electromagnetic measurement while drilling (EM-MWD) in the underground coal mine, the signal-to-noise ratio (SNR) of a receiver cannot always meet the requirements of reliable communication conditions due to the earth attenuation, interfering signal from the well site, and so on. Aimed to solve these problems, this paper presents a low error rate Bose-Chaudhuri-Hocquenghem (BCH)-based encoder-decoder technology for EM-MWD. First, this paper studies the relationship among the BCH encoding error performance and the decoding method, the source length, and other factors through simulation; then, we obtain an optimal length of BCH code for EM-MWD through analyzing the bit error performance of hard-decision decoding and soft-decision decoding with different lengths of BCH code. Finally, we compare the proposed algorithm with the conventional binary phase-shift keying (BPSK) approach in the actual environment. The results show that the proposed algorithm can reduce the bit error rate by about ten times at a lower SNR, achieving a reliable communication condition when the SNR of a received signal is reduced. It demonstrates the effectiveness of the proposed BCH encoder and the decoder algorithm based on BPSK for EM-MWD. INDEX TERMS EM-MWD system, BPSK, BCH coding, optimized coding techniques.

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FPGA Based High Speed BCH Encoder for Wireless Communication Applications

Cited by 11 publications

References 2 publications

Power Spectral Density Analysis of Speech Signal using Window Techniques

Power Spectral Density Analysis of Speech Signal using Window Techniques

FPGA Implementation of 3 bits BCH Error Correcting Codes

A Low Error Rate BCH-Based Encoder-Decoder Approach for Electromagnetic Measurement While Drilling System

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