Pub Date : 2020-09-08DOI: 10.1109/NRSC49500.2020.9235115
M. Ibrahim, Kawther I. Arafa, F. Farag, I. Abdalla
This paper presents an automatic methodology for RF transceiver circuit design. This algorithm is based on analytically driven equations for calculating the required circuit specifications. The presented algorithm is useful for the designers to calculate their initial design parameters closed to the optimum operating point. The analog gm/ID model is used for the circuit design. In order to verify the idea, a CMOS cascade LNA design methodology is presented for a receiver front end. The design methodology is divided into three steps: first the RF amplifier design for the required band; second the band limitation using a tuned circuit. and finally the impedance matching. A MATIAB program is developed for a complete circuit design (MOST’s size, bias current, LS, LD, and LG). The CMOS LNA is simulated at 4 GHz using Cadence CAD tools in the 0.13um CMOS technology parameters. The results are compared to the analytical analysis, and it showed the applicability of the proposed algorithm.
{"title":"Design of Cmos Low Noise Amplifier using an Automated System-on-Chip Methodology","authors":"M. Ibrahim, Kawther I. Arafa, F. Farag, I. Abdalla","doi":"10.1109/NRSC49500.2020.9235115","DOIUrl":"https://doi.org/10.1109/NRSC49500.2020.9235115","url":null,"abstract":"This paper presents an automatic methodology for RF transceiver circuit design. This algorithm is based on analytically driven equations for calculating the required circuit specifications. The presented algorithm is useful for the designers to calculate their initial design parameters closed to the optimum operating point. The analog gm/ID model is used for the circuit design. In order to verify the idea, a CMOS cascade LNA design methodology is presented for a receiver front end. The design methodology is divided into three steps: first the RF amplifier design for the required band; second the band limitation using a tuned circuit. and finally the impedance matching. A MATIAB program is developed for a complete circuit design (MOST’s size, bias current, LS, LD, and LG). The CMOS LNA is simulated at 4 GHz using Cadence CAD tools in the 0.13um CMOS technology parameters. The results are compared to the analytical analysis, and it showed the applicability of the proposed algorithm.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"8 1","pages":"181-188"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89265160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-03-18DOI: 10.1109/NRSC.2008.4542332
M.N.A. El Massih, M. Aziz, S. Ramly
Digital communications using multi-input multi-output (MIMO) has recently emerged as one of the most significant technical breakthroughs in modern communications [1] as they offer remarkable spectral efficiency. Among many types of space-time codes, the layered space-time codes (LST) [2] offer a multiplexing gain of ntau (number of transmit antennas) rather than diversity gain offered by space-time block and trellis codes [3]-[5].[6]. Turbo codes [7] are considered novel and revolutionary error-control coding technique because they offer a remarkable performance using an iterative process at the receiver. This iterative process uses a soft input soft-output decoder such as maximum a posteriori probability (MAP) [8] decoder or soft output Viterbi algorithm (SOVA)[9],[10]. In this paper it is proposed to use turbo codes in conjunction with different LST architectures using parallel interference canceller (PIC) iterative receiver. MAP algorithm is used as the soft-input soft-output decoder. Simulation results show a great improvement compared to non-turbo LST systems.
{"title":"Using turbo codes with layered space-time coding for MIMO wireless systems","authors":"M.N.A. El Massih, M. Aziz, S. Ramly","doi":"10.1109/NRSC.2008.4542332","DOIUrl":"https://doi.org/10.1109/NRSC.2008.4542332","url":null,"abstract":"Digital communications using multi-input multi-output (MIMO) has recently emerged as one of the most significant technical breakthroughs in modern communications [1] as they offer remarkable spectral efficiency. Among many types of space-time codes, the layered space-time codes (LST) [2] offer a multiplexing gain of ntau (number of transmit antennas) rather than diversity gain offered by space-time block and trellis codes [3]-[5].[6]. Turbo codes [7] are considered novel and revolutionary error-control coding technique because they offer a remarkable performance using an iterative process at the receiver. This iterative process uses a soft input soft-output decoder such as maximum a posteriori probability (MAP) [8] decoder or soft output Viterbi algorithm (SOVA)[9],[10]. In this paper it is proposed to use turbo codes in conjunction with different LST architectures using parallel interference canceller (PIC) iterative receiver. MAP algorithm is used as the soft-input soft-output decoder. Simulation results show a great improvement compared to non-turbo LST systems.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"47 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2008-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84684851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2001-03-27DOI: 10.1109/NRSC.2001.929225
M. Hadhoud, M. Dessouky, F. E. El-Samie, S. El-Khamy
Two proposed methods are used for enhancing the results of the linear minimum mean square error (LMMSE) or Wiener restoration. The first approach depends on adaptively merging the Wiener restoration with a regularized restoration technique, which can be solved iteratively. The second approach is a smoothing technique to reduce noise in flat areas in the, restored images. The decision that is used for selecting the regions in the image, in which either the regularization or the smoothing processes can be made, is dependent on the 2-D Haar wavelet transform.
{"title":"Enhanced Wiener restoration of images based on the Haar wavelet transform","authors":"M. Hadhoud, M. Dessouky, F. E. El-Samie, S. El-Khamy","doi":"10.1109/NRSC.2001.929225","DOIUrl":"https://doi.org/10.1109/NRSC.2001.929225","url":null,"abstract":"Two proposed methods are used for enhancing the results of the linear minimum mean square error (LMMSE) or Wiener restoration. The first approach depends on adaptively merging the Wiener restoration with a regularized restoration technique, which can be solved iteratively. The second approach is a smoothing technique to reduce noise in flat areas in the, restored images. The decision that is used for selecting the regions in the image, in which either the regularization or the smoothing processes can be made, is dependent on the 2-D Haar wavelet transform.","PeriodicalId":6778,"journal":{"name":"2020 37th National Radio Science Conference (NRSC)","volume":"54 1","pages":"241-249"},"PeriodicalIF":0.0,"publicationDate":"2001-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84811666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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