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Efficient Cross-Correlation Algorithm for Correction of Common Phase Error Employing Preamble for Orthogonal Frequency Division Multiplexing (OFDM) Receivers
- Source :
- Wireless Personal Communications. 118:535-549
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- In this paper, we propose a cross-correlation algorithm for correction of common phase error (CPE) in orthogonal frequency division multiplexing (OFDM) systems with high implementation efficiency. CPE resulting from the impairment of orthogonality among subcarriers is due to phase noise. It leads to the offset of demodulated data and increases the bit error rate (BER) of the receivers. As a result, it significantly degrades the performance of wireless communication systems that use OFDM. Therefore, offset compensation algorithm must be adopted in the OFDM system. The phase offset is traditionally estimated and compensated by introducing pilots in each OFDM symbol. However, the BER performance of the traditional algorithm PCP is poor because it is limited by the quantity of the pilot constraints of the wireless communication standard. A novel CPE correction algorithm involved in time and frequency domain can be developed to solve this problem. The proposed algorithm takes advantage of preamble sequences to remove the limitation of the pilots and improve the BER performance. Numerical analyses show that the proposed algorithm presents better estimation performance in additive white Gaussian noise (AWGN) channel. And the mean square error (MSE) is reduced to 10−3, which is lower than that of the traditional algorithm (10−2) at 10 dB signal-to-noise ratio (SNR). The BER is approximately down to10−5 at 12 dB SNR. The proposed algorithm can be easily implemented with low complexity of hardware for practical applications.
- Subjects :
- Mean squared error
Orthogonal frequency-division multiplexing
Computer science
business.industry
020206 networking & telecommunications
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Noise (electronics)
Computer Science Applications
symbols.namesake
Additive white Gaussian noise
Frequency domain
0202 electrical engineering, electronic engineering, information engineering
Bit error rate
symbols
Wireless
020201 artificial intelligence & image processing
Electrical and Electronic Engineering
business
Algorithm
Communication channel
Subjects
Details
- ISSN :
- 1572834X and 09296212
- Volume :
- 118
- Database :
- OpenAIRE
- Journal :
- Wireless Personal Communications
- Accession number :
- edsair.doi...........0825b38b437d7ebb8dc87d26e31c9bd0