IEICE TRANSACTIONS on Fundamentals
A Novel Algorithm for Burst Detection in Wideband Networking Waveform of Software Defined Radio
Summary :
The correct detection of the start of burst is very important in wideband networking radio operation as it directly affects the Time Division Multiple Access (TDMA) adaptive time slot algorithm. In this paper, we propose a robust Data Aided (DA) algorithm for burst detection in a hybrid CDMA/Adaptive TDMA based wideband networking waveform of a software defined radio. The proposed algorithm is based on a novel differentially modulated training sequence designed by using precoding sequence. The training sequence structure and precoding sequence are exploited in the calculation of proposed timing metric which is normalized by the signal energy. The precoding sequence is adequately designed for the timing metric to have a sharp peak. The algorithm shows excellent performance for multiuser scenario. It is shown through computer simulations that by increasing the active users from 1 to 8, the performance degradation is only about 1∼2dB. The proposed algorithm is compared with other algorithms and found to outperform them even in the presence of multipath fading effects. The proposed algorithm has been implemented on Field Programmable Gate Array (FPGA) platform for high data rate applications and it is shown that the results from hardware are identical to the simulation results.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.6 pp.1225-1233
- Publication Date
- 2015/06/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.1225
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Muhammad ZEESHAN
National University of Sciences & Technology
Shoab KHAN
National University of Sciences & Technology
Keyword
Latest Issue
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Muhammad ZEESHAN, Shoab KHAN, "A Novel Algorithm for Burst Detection in Wideband Networking Waveform of Software Defined Radio" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 6, pp. 1225-1233, June 2015, doi: 10.1587/transfun.E98.A.1225.
Abstract: The correct detection of the start of burst is very important in wideband networking radio operation as it directly affects the Time Division Multiple Access (TDMA) adaptive time slot algorithm. In this paper, we propose a robust Data Aided (DA) algorithm for burst detection in a hybrid CDMA/Adaptive TDMA based wideband networking waveform of a software defined radio. The proposed algorithm is based on a novel differentially modulated training sequence designed by using precoding sequence. The training sequence structure and precoding sequence are exploited in the calculation of proposed timing metric which is normalized by the signal energy. The precoding sequence is adequately designed for the timing metric to have a sharp peak. The algorithm shows excellent performance for multiuser scenario. It is shown through computer simulations that by increasing the active users from 1 to 8, the performance degradation is only about 1∼2dB. The proposed algorithm is compared with other algorithms and found to outperform them even in the presence of multipath fading effects. The proposed algorithm has been implemented on Field Programmable Gate Array (FPGA) platform for high data rate applications and it is shown that the results from hardware are identical to the simulation results.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1225/_p
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@ARTICLE{e98-a_6_1225,
author={Muhammad ZEESHAN, Shoab KHAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Novel Algorithm for Burst Detection in Wideband Networking Waveform of Software Defined Radio},
year={2015},
volume={E98-A},
number={6},
pages={1225-1233},
abstract={The correct detection of the start of burst is very important in wideband networking radio operation as it directly affects the Time Division Multiple Access (TDMA) adaptive time slot algorithm. In this paper, we propose a robust Data Aided (DA) algorithm for burst detection in a hybrid CDMA/Adaptive TDMA based wideband networking waveform of a software defined radio. The proposed algorithm is based on a novel differentially modulated training sequence designed by using precoding sequence. The training sequence structure and precoding sequence are exploited in the calculation of proposed timing metric which is normalized by the signal energy. The precoding sequence is adequately designed for the timing metric to have a sharp peak. The algorithm shows excellent performance for multiuser scenario. It is shown through computer simulations that by increasing the active users from 1 to 8, the performance degradation is only about 1∼2dB. The proposed algorithm is compared with other algorithms and found to outperform them even in the presence of multipath fading effects. The proposed algorithm has been implemented on Field Programmable Gate Array (FPGA) platform for high data rate applications and it is shown that the results from hardware are identical to the simulation results.},
keywords={},
doi={10.1587/transfun.E98.A.1225},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - A Novel Algorithm for Burst Detection in Wideband Networking Waveform of Software Defined Radio
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1225
EP - 1233
AU - Muhammad ZEESHAN
AU - Shoab KHAN
PY - 2015
DO - 10.1587/transfun.E98.A.1225
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2015
AB - The correct detection of the start of burst is very important in wideband networking radio operation as it directly affects the Time Division Multiple Access (TDMA) adaptive time slot algorithm. In this paper, we propose a robust Data Aided (DA) algorithm for burst detection in a hybrid CDMA/Adaptive TDMA based wideband networking waveform of a software defined radio. The proposed algorithm is based on a novel differentially modulated training sequence designed by using precoding sequence. The training sequence structure and precoding sequence are exploited in the calculation of proposed timing metric which is normalized by the signal energy. The precoding sequence is adequately designed for the timing metric to have a sharp peak. The algorithm shows excellent performance for multiuser scenario. It is shown through computer simulations that by increasing the active users from 1 to 8, the performance degradation is only about 1∼2dB. The proposed algorithm is compared with other algorithms and found to outperform them even in the presence of multipath fading effects. The proposed algorithm has been implemented on Field Programmable Gate Array (FPGA) platform for high data rate applications and it is shown that the results from hardware are identical to the simulation results.
ER -
English
