Pub Date : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863110
A. Zeher, S. Binczak, Jérôme Joli
In digital signal filtering, channels with narrow bandwidth need high order digital filter to be selected without introducing modulation errors. If a carrier randomly switches from a channel to another as in military applications, or some civilian communication standards, it is necessary to detect and estimate these jumps before transposing and analyzing signals in the baseband. This paper presents a real time solution to filter narrow band signals with random frequency hopping spread spectrum. The proposed method is based on three steps. Firstly, the detection of Signal Frequency Hopping (SFH) using the Fast Fourier Transform (FFT), an algorithm to estimate the Dominant Frequency Value (DFV) is developed, it is necessary for better refining the original detection, in particular, with modulated signals. Secondly, the estimated frequency value is scaled and used with a Numerically Controlled Oscillator (NCO) in order shift the interest channel to baseband. Thirdly, the transposed channel in base band is selected using low pass Finite Impulse Response (FIR) filters. Whereas, the multi rate filtering techniques guarantee the high selectivity and low orders of these FIR filters. Each of the following stages is described in detail later in this paper, synthesizing these steps leads to the proposed solution, that is validated by using GSM signals. The algorithms are implemented in Field Programmable Gate Array (FPGA) Altera Cyclone III family.
{"title":"Narrowband digital filtering with random frequency hopping spread spectrum","authors":"A. Zeher, S. Binczak, Jérôme Joli","doi":"10.1109/TENCONSPRING.2014.6863110","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863110","url":null,"abstract":"In digital signal filtering, channels with narrow bandwidth need high order digital filter to be selected without introducing modulation errors. If a carrier randomly switches from a channel to another as in military applications, or some civilian communication standards, it is necessary to detect and estimate these jumps before transposing and analyzing signals in the baseband. This paper presents a real time solution to filter narrow band signals with random frequency hopping spread spectrum. The proposed method is based on three steps. Firstly, the detection of Signal Frequency Hopping (SFH) using the Fast Fourier Transform (FFT), an algorithm to estimate the Dominant Frequency Value (DFV) is developed, it is necessary for better refining the original detection, in particular, with modulated signals. Secondly, the estimated frequency value is scaled and used with a Numerically Controlled Oscillator (NCO) in order shift the interest channel to baseband. Thirdly, the transposed channel in base band is selected using low pass Finite Impulse Response (FIR) filters. Whereas, the multi rate filtering techniques guarantee the high selectivity and low orders of these FIR filters. Each of the following stages is described in detail later in this paper, synthesizing these steps leads to the proposed solution, that is validated by using GSM signals. The algorithms are implemented in Field Programmable Gate Array (FPGA) Altera Cyclone III family.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127879026","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6862993
S. Hashim, N. Safri, P. I. Khalid, M. A. Othman, J. Yunus
The aim of the study is to investigate the directional connectivity in brain between children who has good handwriting and poor handwriting. Two children participated in the case study. Test subject was the one that showed symptoms of handwriting difficulty and was identified by her teacher as below average writer. Control subject on the other hand was the one that did not show any symptom of handwriting difficulty and was confirmed by her teacher as average writer. Subjects must trace on the digitizing tablet three different unlined shapes. While doing the drawing task, brain signal were recorded using electroencephalogram (EEG) machine to analyze the information pathway using partial directed coherence (PDC) method in Linux open source. Results showed that subject with poor handwriting mostly drew with non-preferred movement and the brain region that became the source of functional coupling was the frontal region where planning and organizing for execution are performed. Mean-while, subject with good handwriting had performed the tracing with preferred movement and PDC showed that the information source came from occipital area, an indication of visual input and sinked to various brain regions, including temporal area for recognizing shape and frontal area for planning and organizing movement. As conclusion, brain analysis of poor handwriting child shows that the movement planning was poorly executed since frontal area does not have any input from any other sources compared to the brain of good handwriting child which had some input from other sources that makes movement well-planned.
{"title":"Differences in cortico-cortical functional connections between children with good and poor handwriting: A case study","authors":"S. Hashim, N. Safri, P. I. Khalid, M. A. Othman, J. Yunus","doi":"10.1109/TENCONSPRING.2014.6862993","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6862993","url":null,"abstract":"The aim of the study is to investigate the directional connectivity in brain between children who has good handwriting and poor handwriting. Two children participated in the case study. Test subject was the one that showed symptoms of handwriting difficulty and was identified by her teacher as below average writer. Control subject on the other hand was the one that did not show any symptom of handwriting difficulty and was confirmed by her teacher as average writer. Subjects must trace on the digitizing tablet three different unlined shapes. While doing the drawing task, brain signal were recorded using electroencephalogram (EEG) machine to analyze the information pathway using partial directed coherence (PDC) method in Linux open source. Results showed that subject with poor handwriting mostly drew with non-preferred movement and the brain region that became the source of functional coupling was the frontal region where planning and organizing for execution are performed. Mean-while, subject with good handwriting had performed the tracing with preferred movement and PDC showed that the information source came from occipital area, an indication of visual input and sinked to various brain regions, including temporal area for recognizing shape and frontal area for planning and organizing movement. As conclusion, brain analysis of poor handwriting child shows that the movement planning was poorly executed since frontal area does not have any input from any other sources compared to the brain of good handwriting child which had some input from other sources that makes movement well-planned.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126567710","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863066
Naman Govil, S. R. Chowdhury
The paper presents a high performance implementation of Fast Fourier Transform (FFT) algorithm using the notion of Hardware Software Partitioning. The co-design methodology was used to achieve higher system performance and design flexibility. The algorithm was originally implemented on a microcontroller (Atmegal6) but suffered from high execution delay. A low cost reconfigurable device like Spartan-3E Field Programmable Gate Array (FPGA) was then used to overcome this shortcoming, but the algorithm failed to be implemented on it, due to limited number of configurable logic blocks available within the capacity of the FPGA. Finally, a novel architecture has been realized based on hardware software partition with respect to implementation on microcontroller and FPGA together, such that the two devices communicate with each other, run synergistically and ensure optimality in power, delay and area. Also, a comparative study of the power dissipation, execution delay, area of implementing FFT on the different architectures: first, completely sequential (software), second, completely parallel, i.e. hardware (using FPGA) and third based on Hardware Software Co-design is performed. The power consumption of the co-design has been found to be 0.072W at a supply voltage 3.3V.
{"title":"High performance and low cost implementation of Fast Fourier Transform algorithm based on Hardware Software co-design","authors":"Naman Govil, S. R. Chowdhury","doi":"10.1109/TENCONSPRING.2014.6863066","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863066","url":null,"abstract":"The paper presents a high performance implementation of Fast Fourier Transform (FFT) algorithm using the notion of Hardware Software Partitioning. The co-design methodology was used to achieve higher system performance and design flexibility. The algorithm was originally implemented on a microcontroller (Atmegal6) but suffered from high execution delay. A low cost reconfigurable device like Spartan-3E Field Programmable Gate Array (FPGA) was then used to overcome this shortcoming, but the algorithm failed to be implemented on it, due to limited number of configurable logic blocks available within the capacity of the FPGA. Finally, a novel architecture has been realized based on hardware software partition with respect to implementation on microcontroller and FPGA together, such that the two devices communicate with each other, run synergistically and ensure optimality in power, delay and area. Also, a comparative study of the power dissipation, execution delay, area of implementing FFT on the different architectures: first, completely sequential (software), second, completely parallel, i.e. hardware (using FPGA) and third based on Hardware Software Co-design is performed. The power consumption of the co-design has been found to be 0.072W at a supply voltage 3.3V.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131381600","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863038
Hossein Ghapanchizadeh, S. A. Ahmad, A. J. Ishak
Electromyography (EMG) is a signal which produces from motor units (MUs) in the muscles during contraction activities. By detecting EMG, it can show muscle contractions and body members' movement such as hand, eyes and legs. Monitoring and analyzing these signals from the skin which called Surface EMG (SEMG) required some essential components, for example electrode, data acquisition (DAQ) system and analog to digital converter (ADC). This paper presents a suitable and a portable DAQ system for collecting data from SEMG electrodes by using INA2141 IC. Furthermore, presented DAQ system is able to change the differential channel numbers according to different studies. The proposed system is developed with lower cost, where the components used common parts and are easily obtained. Moreover, by expending number of channels the presented circuit has suitable for wide range of research in SEMG area. In addition, users can use any type of connection for electrodes. Therefore, users can use any SEMG electrode types.
{"title":"Developing multichannel surface EMG acquisition system by using instrument opamp INA2141","authors":"Hossein Ghapanchizadeh, S. A. Ahmad, A. J. Ishak","doi":"10.1109/TENCONSPRING.2014.6863038","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863038","url":null,"abstract":"Electromyography (EMG) is a signal which produces from motor units (MUs) in the muscles during contraction activities. By detecting EMG, it can show muscle contractions and body members' movement such as hand, eyes and legs. Monitoring and analyzing these signals from the skin which called Surface EMG (SEMG) required some essential components, for example electrode, data acquisition (DAQ) system and analog to digital converter (ADC). This paper presents a suitable and a portable DAQ system for collecting data from SEMG electrodes by using INA2141 IC. Furthermore, presented DAQ system is able to change the differential channel numbers according to different studies. The proposed system is developed with lower cost, where the components used common parts and are easily obtained. Moreover, by expending number of channels the presented circuit has suitable for wide range of research in SEMG area. In addition, users can use any type of connection for electrodes. Therefore, users can use any SEMG electrode types.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130039511","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863025
Norhayati Mohd. Suaib, M. Marhaban, M. Saripan, S. A. Ahmad
Feature detection and feature matching are the most crucial parts in visual odometry process. In order to suit the real time process in visual odometry, both of the stages must be robust but at the same time are fast to compute. This paper presents the evaluation of Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Feature (SURF) performances. The results show that SURF is outperform than SIFT in term of rate of matched points and also in computational time.
{"title":"Performance evaluation of feature detection and feature matching for stereo visual odometry using SIFT and SURF","authors":"Norhayati Mohd. Suaib, M. Marhaban, M. Saripan, S. A. Ahmad","doi":"10.1109/TENCONSPRING.2014.6863025","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863025","url":null,"abstract":"Feature detection and feature matching are the most crucial parts in visual odometry process. In order to suit the real time process in visual odometry, both of the stages must be robust but at the same time are fast to compute. This paper presents the evaluation of Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Feature (SURF) performances. The results show that SURF is outperform than SIFT in term of rate of matched points and also in computational time.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132646191","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863033
Wadhah A. M. Al ashwal, K. N. Ramli
This paper reports an overview of UWB jeans antenna and evaluates the safety limits by indicating the computed Specific Absorption Rate (SAR). Simple geometry of the design was aimed in order to fabricate the antenna with minimum errors. The proposed design is a rectangular patch placed on 32 × 34 mm2 jeans substrate with partial ground. Simulated and measured S11 parameter for the antenna at free space is reported in this paper. Simulated radiation patterns are also presented in this paper. The performance of the antenna has then been examined in close proximity to a developed model of human arm. Evaluation of SAR has included calculating 10-g SAR when the antenna placed at 5, 10, 15 and 20 mm far from the phantom.
{"title":"Small planar monopole UWB wearable antenna with low SAR","authors":"Wadhah A. M. Al ashwal, K. N. Ramli","doi":"10.1109/TENCONSPRING.2014.6863033","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863033","url":null,"abstract":"This paper reports an overview of UWB jeans antenna and evaluates the safety limits by indicating the computed Specific Absorption Rate (SAR). Simple geometry of the design was aimed in order to fabricate the antenna with minimum errors. The proposed design is a rectangular patch placed on 32 × 34 mm2 jeans substrate with partial ground. Simulated and measured S11 parameter for the antenna at free space is reported in this paper. Simulated radiation patterns are also presented in this paper. The performance of the antenna has then been examined in close proximity to a developed model of human arm. Evaluation of SAR has included calculating 10-g SAR when the antenna placed at 5, 10, 15 and 20 mm far from the phantom.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114574978","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863074
M. Yochum, T. Bakir, S. Binczak, R. Lepers
In this article, we proposed a new representation of muscular fatigue during evoked muscle contractions based on fatigue indexes such as peak to peak amplitude, RMS of the M wave, mean and median frequency and fatigue index calculated from continuous wavelet transform (ICWT). These new representations of muscle fatigue using multi axis represented and Euclidean distance give better insights on changes in physiological characteristics during muscle fatigue. This technique provides a fatigue index using several muscle characteristics. The use of other kinds of fatigue characteristics as force could also be possible.
{"title":"Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions","authors":"M. Yochum, T. Bakir, S. Binczak, R. Lepers","doi":"10.1109/TENCONSPRING.2014.6863074","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863074","url":null,"abstract":"In this article, we proposed a new representation of muscular fatigue during evoked muscle contractions based on fatigue indexes such as peak to peak amplitude, RMS of the M wave, mean and median frequency and fatigue index calculated from continuous wavelet transform (ICWT). These new representations of muscle fatigue using multi axis represented and Euclidean distance give better insights on changes in physiological characteristics during muscle fatigue. This technique provides a fatigue index using several muscle characteristics. The use of other kinds of fatigue characteristics as force could also be possible.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"13 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114799332","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863072
S. Z. Aziz, N. Ramli, M. Jamlos, M. A. Jamlos
A Prompt and Mobile (In-Situ) E-coli Detection Using Microwave Technique is proposed. In this paper, theoretical investigation has been carried out to determine the importance of microwave technique for detection of E-coli bacteria. We choose this type of bacteria to study their viability at different temperatures from 20° to 40°C. The basic principle is to monitor the wavelength of radiation and reduce the physical size of probe by immersing and transmitting antenna, receiving antenna, and target into a high dielectric constant material, which is water. Here, we observed the effect of temperature changes with dielectric constant for E-coli growth. A novel rectangular patch antenna is designed and presented to detect the Mobile E-coli bacteria. The result shows that as the temperature of water increase, the survival of E-coli bacteria is prolonged until one limit of temperature.
{"title":"Mobile e-coli Detection Using Microwave Technique","authors":"S. Z. Aziz, N. Ramli, M. Jamlos, M. A. Jamlos","doi":"10.1109/TENCONSPRING.2014.6863072","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863072","url":null,"abstract":"A Prompt and Mobile (In-Situ) E-coli Detection Using Microwave Technique is proposed. In this paper, theoretical investigation has been carried out to determine the importance of microwave technique for detection of E-coli bacteria. We choose this type of bacteria to study their viability at different temperatures from 20° to 40°C. The basic principle is to monitor the wavelength of radiation and reduce the physical size of probe by immersing and transmitting antenna, receiving antenna, and target into a high dielectric constant material, which is water. Here, we observed the effect of temperature changes with dielectric constant for E-coli growth. A novel rectangular patch antenna is designed and presented to detect the Mobile E-coli bacteria. The result shows that as the temperature of water increase, the survival of E-coli bacteria is prolonged until one limit of temperature.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115114942","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6862994
M. N. Isa, M. I. Ahmad, S. Murad, R. C. Ismail, K. Benkrid
One of the most challenging tasks in sequence alignment is its repetitive and time-consuming alignment matrix computations. In addition, performing sequence alignment in hardware, i.e. FPGA requires more hardware resources as the number of processing elements is replicated to increase performance throughput. This paper first reviews the existing FPGA-based biological sequence alignment core architectures and then proposed an efficient scheduling strategy, the so-called overlap computation and configuration (OCC) towards realizing optimized biological sequence alignment core architecture targeting for pairwise sequence alignment. In this research work, double buffering-based core architecture have been proposed and implemented on Xilinx Virtex-5 FPGA. Results have shown that this approach gained more than 10K times speed-up as compared to the GPP solution.
{"title":"Biological sequence alignments: A review of hardware accelerators and a new PE computing strategy","authors":"M. N. Isa, M. I. Ahmad, S. Murad, R. C. Ismail, K. Benkrid","doi":"10.1109/TENCONSPRING.2014.6862994","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6862994","url":null,"abstract":"One of the most challenging tasks in sequence alignment is its repetitive and time-consuming alignment matrix computations. In addition, performing sequence alignment in hardware, i.e. FPGA requires more hardware resources as the number of processing elements is replicated to increase performance throughput. This paper first reviews the existing FPGA-based biological sequence alignment core architectures and then proposed an efficient scheduling strategy, the so-called overlap computation and configuration (OCC) towards realizing optimized biological sequence alignment core architecture targeting for pairwise sequence alignment. In this research work, double buffering-based core architecture have been proposed and implemented on Xilinx Virtex-5 FPGA. Results have shown that this approach gained more than 10K times speed-up as compared to the GPP solution.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123556092","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 : 2014-04-14DOI: 10.1109/TENCONSPRING.2014.6863052
B. Sridhar, M. Z. Ali Khan
This paper describes a study on path loss variation in UHF/VHF bands in India from a root mean square error perspective. The aim of this study is to compare existing propagation path loss models in various parts of India. We calculate average root mean square error (RMSE) between measured path loss and those predicted by the existing path loss models. It is found that Perez-Vega and Zamanillo model is best among the 9 compared path loss models with an average RMSE of 16.93 dB. We conclude that Perez-Vega and Zamanillo model is better suited for predicting path loss in UHF/VHF bands for India.
{"title":"RMSE comparison of path loss models for UHF/VHF bands in India","authors":"B. Sridhar, M. Z. Ali Khan","doi":"10.1109/TENCONSPRING.2014.6863052","DOIUrl":"https://doi.org/10.1109/TENCONSPRING.2014.6863052","url":null,"abstract":"This paper describes a study on path loss variation in UHF/VHF bands in India from a root mean square error perspective. The aim of this study is to compare existing propagation path loss models in various parts of India. We calculate average root mean square error (RMSE) between measured path loss and those predicted by the existing path loss models. It is found that Perez-Vega and Zamanillo model is best among the 9 compared path loss models with an average RMSE of 16.93 dB. We conclude that Perez-Vega and Zamanillo model is better suited for predicting path loss in UHF/VHF bands for India.","PeriodicalId":270495,"journal":{"name":"2014 IEEE REGION 10 SYMPOSIUM","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123610114","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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