A robust auto‐adaptive approach for serial acquisition of generalized multi‐carrier spread spectrum in multipath fading mobile channels. (26th October 2020)
- Record Type:
- Journal Article
- Title:
- A robust auto‐adaptive approach for serial acquisition of generalized multi‐carrier spread spectrum in multipath fading mobile channels. (26th October 2020)
- Main Title:
- A robust auto‐adaptive approach for serial acquisition of generalized multi‐carrier spread spectrum in multipath fading mobile channels
- Authors:
- Jouini, Abdelhafid
Maali, Abdelmadjid
Benssalah, Mustapha
Mesloub, Ammar
Baudoin, Genevieve
Hamadouche, Mhamed - Abstract:
- Summary: In this paper, a new robust auto‐adaptive approach for pseudo‐noise (PN) code acquisition is proposed. It is applied to the generalized multi‐carrier direct‐sequence code‐division multiple‐access (MC DS‐CDMA) systems communicating over frequency‐selective multipath Rayleigh fading channels. This new approach is based on the constant false alarm rate (CFAR) detection algorithm, referred here as automatic selection partial sum ordered statistics (ASPSOS)‐CFAR. The proposed approach does not require any prior information about the background environment and uses maximum likelihood estimation (MLE) method to detect the interfering signals group in the ranked cells for the full reference window. Once this group is identified and censored, the remaining smaller ranked cells are combined to form an estimate of the background noise level to compute the adaptive threshold. Through simulations, the performance of the proposed detector is analyzed and compared with traditional CFAR detectors based on fixed or automatic censoring algorithms. The obtained results show that the proposed detector eliminates the drawbacks of the previously related detectors and offers a robust detection performance to enhance the acquisition process in heterogeneous background environments. Abstract : In this study, a new robust auto‐adaptive approach for pseudo‐noise (PN) code acquisition scheme for generalized MC DS‐CDMA communication systems using auto‐adaptive thresholding constant false alarmSummary: In this paper, a new robust auto‐adaptive approach for pseudo‐noise (PN) code acquisition is proposed. It is applied to the generalized multi‐carrier direct‐sequence code‐division multiple‐access (MC DS‐CDMA) systems communicating over frequency‐selective multipath Rayleigh fading channels. This new approach is based on the constant false alarm rate (CFAR) detection algorithm, referred here as automatic selection partial sum ordered statistics (ASPSOS)‐CFAR. The proposed approach does not require any prior information about the background environment and uses maximum likelihood estimation (MLE) method to detect the interfering signals group in the ranked cells for the full reference window. Once this group is identified and censored, the remaining smaller ranked cells are combined to form an estimate of the background noise level to compute the adaptive threshold. Through simulations, the performance of the proposed detector is analyzed and compared with traditional CFAR detectors based on fixed or automatic censoring algorithms. The obtained results show that the proposed detector eliminates the drawbacks of the previously related detectors and offers a robust detection performance to enhance the acquisition process in heterogeneous background environments. Abstract : In this study, a new robust auto‐adaptive approach for pseudo‐noise (PN) code acquisition scheme for generalized MC DS‐CDMA communication systems using auto‐adaptive thresholding constant false alarm rate (CFAR) detection is proposed. The results indicated that the suggested CFAR scheme eliminates the drawbacks of the previously related CFAR schemes and offers a robust detection performance to enhance the acquisition process in a heterogeneous background. … (more)
- Is Part Of:
- International journal of communication systems. Volume 34:Number 1(2021)
- Journal:
- International journal of communication systems
- Issue:
- Volume 34:Number 1(2021)
- Issue Display:
- Volume 34, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 34
- Issue:
- 1
- Issue Sort Value:
- 2021-0034-0001-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-10-26
- Subjects:
- CFAR -- MC‐SS -- MLE -- ordered statistic -- PN sequence -- synchronization
Telecommunication systems -- Periodicals
621.382 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/dac.4659 ↗
- Languages:
- English
- ISSNs:
- 1074-5351
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.172515
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15077.xml