Performance evaluation of convolutional encoded partial differential space time OFDM using modified local splines

Bawa, Manan; Tahernezhadi, M.

doi:10.1109/eit.2015.7293315

Cited by 4 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The codes which are also used as inner codes with burst error correcting capability to form concatenated codes [10]. OFDM is coded with convolutional encoder to fight against frequency selective channels, this article compares BER of partialdifferential space time OFDM with coherent OFDM [11]. Hamming code is one of convolutional encoder, if it satisfies three conditions such as number of check bits should be always greater than three, and the block length is equal to 2q-1, final one condition is the minimum distance between the codes is 3.…”

Section: Introductionmentioning

confidence: 99%

BER analysis of concatenated levels of encoding in GFDM system using labview

Telagam¹,

Lakshmi²,

Kandasamy³

2019

IJEECS

View full text Add to dashboard Cite

<p>All the devices are interconnected each other in digital form, for different applications the input data is encoded for error correcting and detecting purpose. The paper describes the transmission of QAM signals with two level encoded stages, i.e. convolutional and hamming coded GFDM system with 256-point IFFT at transmitter and FFT at the receiver using LABVIEW software. GFDM is a non-orthogonal, digital multicarrier transmission scheme which digitally implements the classical filter bank approach. GFDM transmits a block of frame composed by M time slots with K subcarriers. The higher order QAM is used because of transmitting more data but is less reliable when compared to lower order QAM. Based on GFDM specifications for the IEEE 802.11, latest 5G physical layer standards, the coding is provided by ½ rate encoder at the input side, and Maximum Likelihood decoder at the receiver side is used. The standard convolution code (7, [171, 133]), is used as encoder for the GFDM system. The GFDM complex values are displayed in the front panel, along with FFT and power spectrum is plotted for GFDM signal. The array of input bits and output bits are shown with green colour LED’s. The van de Beek algorithm is used at the receiver for maximum likelihood detection acts as convolutional decoder of GFDM signal. Next the signal is subjected to remove cyclic prefix and zero padding and applied to channel estimation algorithm. The un-equalized data and equalized data graph is shown in the front panel, before and after channel estimation VI. With BER VI available in the LABVIEW the data is normalized and its response is plotted with respect to SNR. BER values for different levels of encoders have shown in table for SNR values. This paper concludes the 32.91% improvement in BER for two levels of concatenated codes.Thus the GFDM signal outperforms the OFDM signal interms of BER for series levels of coding using labVIEW software.</p>

show abstract

Section: Introductionmentioning

confidence: 99%