Pub Date : 2010-06-15DOI: 10.1109/AHS.2010.5546258
D. Jenn, Jiheon Ryu, Tsai-Yen Chang, R. Broadston
Self-synchronizing distributed arrays have been investigated for a number of sensor applications such as radar. This paper discusses several methods for phase synchronizing a distributed array so that coherent processing can be performed. One of the concepts involves transmission of a beacon that is used directly as the frequency reference. After a phase synchronization process is performed sequentially across the array, measured phase differences are obtained that can be used in the digital processing to compensate for hardware and propagation channel differences. The concept was demonstrated for a two element array using commercial hardware at 2.45 GHz. Leakage cancellation techniques were employed to achieve phase accuracies of approximately 20 degrees.
{"title":"Adaptive phase synchronization in distributed digital arrays","authors":"D. Jenn, Jiheon Ryu, Tsai-Yen Chang, R. Broadston","doi":"10.1109/AHS.2010.5546258","DOIUrl":"https://doi.org/10.1109/AHS.2010.5546258","url":null,"abstract":"Self-synchronizing distributed arrays have been investigated for a number of sensor applications such as radar. This paper discusses several methods for phase synchronizing a distributed array so that coherent processing can be performed. One of the concepts involves transmission of a beacon that is used directly as the frequency reference. After a phase synchronization process is performed sequentially across the array, measured phase differences are obtained that can be used in the digital processing to compensate for hardware and propagation channel differences. The concept was demonstrated for a two element array using commercial hardware at 2.45 GHz. Leakage cancellation techniques were employed to achieve phase accuracies of approximately 20 degrees.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121170813","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 : 2010-06-15DOI: 10.1109/AHS.2010.5546241
M. Samie, G. Dragffy, A. Pipe
This paper presents a novel bio-inspired self-test technique for the implementation of evolvable fault tolerant systems based on the structure, behavior and processes observed in prokaryote unicellular organisms. Such Unitronic (unicellular electronic) artificial systems are implemented by FPGA-like bio-inspired cellular arrays and made up of structurally identical cells. All cells possess self-diagnostic and self-healing capability. Our underlying conceptual postulation is: if it can be guaranteed that during the test phase a cell, the internal functionality of which is configured with a complementary input sequence, demonstrates the same functionality, as that with the original sequence during its normal mode of operation, then the cell is fault free, otherwise it is faulty. Our proposed self-test can evaluate all stuck-at-zero and stuck-at-one faults of the system if at any time only one fault exists. Hardware redundancy is optimised because the same hardware, by simple reconfiguration is able to test itself and thus eliminates the need of duplicated, triplicated hardware.
{"title":"Bio-inspired self-test for evolvable fault tolerant hardware systems","authors":"M. Samie, G. Dragffy, A. Pipe","doi":"10.1109/AHS.2010.5546241","DOIUrl":"https://doi.org/10.1109/AHS.2010.5546241","url":null,"abstract":"This paper presents a novel bio-inspired self-test technique for the implementation of evolvable fault tolerant systems based on the structure, behavior and processes observed in prokaryote unicellular organisms. Such Unitronic (unicellular electronic) artificial systems are implemented by FPGA-like bio-inspired cellular arrays and made up of structurally identical cells. All cells possess self-diagnostic and self-healing capability. Our underlying conceptual postulation is: if it can be guaranteed that during the test phase a cell, the internal functionality of which is configured with a complementary input sequence, demonstrates the same functionality, as that with the original sequence during its normal mode of operation, then the cell is fault free, otherwise it is faulty. Our proposed self-test can evaluate all stuck-at-zero and stuck-at-one faults of the system if at any time only one fault exists. Hardware redundancy is optimised because the same hardware, by simple reconfiguration is able to test itself and thus eliminates the need of duplicated, triplicated hardware.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132645120","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 : 2010-06-15DOI: 10.1109/AHS.2010.5546271
Matthias Brugger, Ferdinand Kemeth
We introduce different techniques, to adapt the update rate of a Real Time Locating System (RTLS) using Angle of Arrival (AoA) and Round Trip Time (RTT). A dedicated algorithm is implemented to detect the speed of walking of a person by exploiting data on the steps from a 3-dimensional accelerometer. Its implementation is described and the results of two experiments are discussed demonstrating the gain of the adaptation in terms of an increased channel capacity.
{"title":"Locating rate adaptation by evaluating movement specific parameters","authors":"Matthias Brugger, Ferdinand Kemeth","doi":"10.1109/AHS.2010.5546271","DOIUrl":"https://doi.org/10.1109/AHS.2010.5546271","url":null,"abstract":"We introduce different techniques, to adapt the update rate of a Real Time Locating System (RTLS) using Angle of Arrival (AoA) and Round Trip Time (RTT). A dedicated algorithm is implemented to detect the speed of walking of a person by exploiting data on the steps from a 3-dimensional accelerometer. Its implementation is described and the results of two experiments are discussed demonstrating the gain of the adaptation in terms of an increased channel capacity.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133534665","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 : 2010-06-15DOI: 10.1109/AHS.2010.5546259
J. Barrera, G. Huff
This paper examines the frequency reconfiguration of an SIW bandpass filter for frequency-agile operations. Dispersions of dielectric nanoparticles are used as vertically aligned fluidic material perturbations in these devices to provide electromagnetic agility for reconfiguration. Analytical modeling, simulated, and measured data for a single-pole X-band bandpass SIW filter.
{"title":"An adaptive SIW filter using vertically-orientated fluidic material perturbations","authors":"J. Barrera, G. Huff","doi":"10.1109/AHS.2010.5546259","DOIUrl":"https://doi.org/10.1109/AHS.2010.5546259","url":null,"abstract":"This paper examines the frequency reconfiguration of an SIW bandpass filter for frequency-agile operations. Dispersions of dielectric nanoparticles are used as vertically aligned fluidic material perturbations in these devices to provide electromagnetic agility for reconfiguration. Analytical modeling, simulated, and measured data for a single-pole X-band bandpass SIW filter.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134504930","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 : 2010-06-15DOI: 10.1109/AHS.2010.5546231
S. Narasimhan, Somnath Paul, R. Chakraborty, F. Wolff, C. Papachristou, D. Weyer, S. Bhunia
Post-silicon process compensation or “healing” of integrated circuits (ICs) has emerged as an effective approach to improve yield and reliability under parameter variations. In a System-on-Chip (SoC) comprising of multiple cores, different cores can experience different process shift due to local within-die variations. Furthermore, the cores are likely to have different sensitivities with respect to system power dissipation and system output parameters such as quality of service or throughput. Post-silicon healing has been addressed earlier at core level using various compensation approaches. In this paper, we present a system level healing algorithm for compensating SoC chips for a specific output parameter under power constraint. We formulate the healing problem as an ordinal optimization problem, where individual cores need to be assigned the right amount of healing that satisfies the target system performance and power requirement. Next, we propose an efficient solution to the problem using a priori design-time information about the relative sensitivities of the cores to system performance and power. Simulation results for example systems show that the proposed healing approach can achieve higher parametric yield and better settling time compared to conventional healing approaches.
{"title":"System level self-healing for parametric yield and reliability improvement under power bound","authors":"S. Narasimhan, Somnath Paul, R. Chakraborty, F. Wolff, C. Papachristou, D. Weyer, S. Bhunia","doi":"10.1109/AHS.2010.5546231","DOIUrl":"https://doi.org/10.1109/AHS.2010.5546231","url":null,"abstract":"Post-silicon process compensation or “healing” of integrated circuits (ICs) has emerged as an effective approach to improve yield and reliability under parameter variations. In a System-on-Chip (SoC) comprising of multiple cores, different cores can experience different process shift due to local within-die variations. Furthermore, the cores are likely to have different sensitivities with respect to system power dissipation and system output parameters such as quality of service or throughput. Post-silicon healing has been addressed earlier at core level using various compensation approaches. In this paper, we present a system level healing algorithm for compensating SoC chips for a specific output parameter under power constraint. We formulate the healing problem as an ordinal optimization problem, where individual cores need to be assigned the right amount of healing that satisfies the target system performance and power requirement. Next, we propose an efficient solution to the problem using a priori design-time information about the relative sensitivities of the cores to system performance and power. Simulation results for example systems show that the proposed healing approach can achieve higher parametric yield and better settling time compared to conventional healing approaches.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125078971","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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