Pub Date : 2008-07-06DOI: 10.1109/SPAWC.2008.4641615
C. Lélé, R. Legouable, P. Siohan
OFDM/OQAM is a multi-carrier modulation scheme that can be considered as an alternative to conventional OFDM with cyclic prefix (CP) for transmission over multi-path fading channels. As it requires no CP, it has the advantage of a theoretically higher spectral efficiency. Furthermore, efficient pulse shaping can also be easily implemented. However, the classical channel estimation methods used for OFDM cannot be directly applied to OFDM/OQAM. In this paper, we present an analysis of this problem and we introduce a channel estimation method using scattered pilots. The performance results are evaluated for a slow varying multi-path channel model. For both scenarios, the results of OFDM/OQAM, using 2 different pulse shaping, are compared to those of CP-OFDM.
{"title":"Channel estimation with scattered pilots in OFDM/OQAM","authors":"C. Lélé, R. Legouable, P. Siohan","doi":"10.1109/SPAWC.2008.4641615","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641615","url":null,"abstract":"OFDM/OQAM is a multi-carrier modulation scheme that can be considered as an alternative to conventional OFDM with cyclic prefix (CP) for transmission over multi-path fading channels. As it requires no CP, it has the advantage of a theoretically higher spectral efficiency. Furthermore, efficient pulse shaping can also be easily implemented. However, the classical channel estimation methods used for OFDM cannot be directly applied to OFDM/OQAM. In this paper, we present an analysis of this problem and we introduce a channel estimation method using scattered pilots. The performance results are evaluated for a slow varying multi-path channel model. For both scenarios, the results of OFDM/OQAM, using 2 different pulse shaping, are compared to those of CP-OFDM.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125063421","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641673
H. Q. Huynh, Jinhong Yuan, H. Suzuki
In this paper, the performance of multi-branch dual-hop relay systems with maximal ratio combining (MRC) receiver operating in Nakagami-m fading channels is analyzed. We derive closed-form expressions for the moments of signal to noise ratio (SNR) at the output of maximal ratio combiner. From these moments, other important performance figures such as average output SNR, amount of fading (AoF) and spectral efficiency (SE) can be calculated. The average bit error probabilities (ABEP) for various coherent and non-coherent modulation schemes and outage probability (Pout) are also obtained by using the moment generating function (MGF) and characteristic generating function (CHF) approaches, respectively. The mathematical analysis is verified by various numerical and computer simulations, which show the accuracy of the expressions for both ABEP and Pout.
{"title":"Performance analysis for a multi-branch nonregenrative relay system with MRC in Nakagami-m channels","authors":"H. Q. Huynh, Jinhong Yuan, H. Suzuki","doi":"10.1109/SPAWC.2008.4641673","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641673","url":null,"abstract":"In this paper, the performance of multi-branch dual-hop relay systems with maximal ratio combining (MRC) receiver operating in Nakagami-m fading channels is analyzed. We derive closed-form expressions for the moments of signal to noise ratio (SNR) at the output of maximal ratio combiner. From these moments, other important performance figures such as average output SNR, amount of fading (AoF) and spectral efficiency (SE) can be calculated. The average bit error probabilities (ABEP) for various coherent and non-coherent modulation schemes and outage probability (Pout) are also obtained by using the moment generating function (MGF) and characteristic generating function (CHF) approaches, respectively. The mathematical analysis is verified by various numerical and computer simulations, which show the accuracy of the expressions for both ABEP and Pout.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125078171","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641598
M. Konrad, W. Gerstacker
Future mobile communications radio networks, e.g. 3GPP long term evolution (LTE), will typically use an orthogonal frequency division multiplexing (OFDM) based air interface in the downlink. Furthermore, in order to avoid frequency planning, a frequency reuse factor of one is desirable. In this case, system capacity is limited by interference, which is particularly crucial for mobile terminals with a single receive antenna. For a high throughput, interference cancellation algorithms are required in the receiver. In this paper, a single antenna interference cancellation (SAIC) algorithm is introduced for amplitude-shift keying (ASK) modulation schemes used in coded OFDM transmission which achieves high gains in comparison to a conventional coded OFDM transmission employing quadrature amplitude modulation (QAM) in an interference limited scenario. Furthermore, an adaptive least-mean-square (LMS) and a recursive least-squares (RLS) SAIC receiver, respectively, are presented. We show that in particular the RLS solution enables a good tradeoff between performance and complexity and is robust even to multiple interferers and frequency synchronization errors.
{"title":"OFDM transmission with single antenna interference cancellation","authors":"M. Konrad, W. Gerstacker","doi":"10.1109/SPAWC.2008.4641598","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641598","url":null,"abstract":"Future mobile communications radio networks, e.g. 3GPP long term evolution (LTE), will typically use an orthogonal frequency division multiplexing (OFDM) based air interface in the downlink. Furthermore, in order to avoid frequency planning, a frequency reuse factor of one is desirable. In this case, system capacity is limited by interference, which is particularly crucial for mobile terminals with a single receive antenna. For a high throughput, interference cancellation algorithms are required in the receiver. In this paper, a single antenna interference cancellation (SAIC) algorithm is introduced for amplitude-shift keying (ASK) modulation schemes used in coded OFDM transmission which achieves high gains in comparison to a conventional coded OFDM transmission employing quadrature amplitude modulation (QAM) in an interference limited scenario. Furthermore, an adaptive least-mean-square (LMS) and a recursive least-squares (RLS) SAIC receiver, respectively, are presented. We show that in particular the RLS solution enables a good tradeoff between performance and complexity and is robust even to multiple interferers and frequency synchronization errors.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127562895","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641600
J. Jaldén, J. Maurer, G. Matz
We consider vector perturbation precoding over a quasi-static MIMO channel under the assumption of imperfect channel state information (CSI). This is accomplished via a high SNR analysis, specifically targeting the overall system diversity order and the identification of typical errors. The effects of long-term and short-term power constraints, or power allocation policies, are investigated. Our results indicate that under realistic assumptions regarding the channel estimation error the system is mainly interference limited and as such, the particular power constraint does not significantly affect the asymptotic behavior of the error probability. This is in sharp contrast to the case of perfect CSI.
{"title":"On the diversity order of vector perturbation precoding with imperfect channel state information","authors":"J. Jaldén, J. Maurer, G. Matz","doi":"10.1109/SPAWC.2008.4641600","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641600","url":null,"abstract":"We consider vector perturbation precoding over a quasi-static MIMO channel under the assumption of imperfect channel state information (CSI). This is accomplished via a high SNR analysis, specifically targeting the overall system diversity order and the identification of typical errors. The effects of long-term and short-term power constraints, or power allocation policies, are investigated. Our results indicate that under realistic assumptions regarding the channel estimation error the system is mainly interference limited and as such, the particular power constraint does not significantly affect the asymptotic behavior of the error probability. This is in sharp contrast to the case of perfect CSI.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"262 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120871796","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641682
J. MacLaren Walsh, S. Ramanan, P. Regalia
We establish that expectation propagation (EP), under some mild requirements and when properly organized, provides sensors with optimal Bayes estimators during the initialization phase of a large randomly deployed wireless sensor network, regardless of the cost function chosen. We are considering the initialization phase to be the period during which the sensors do not yet know their locations and channel/interference strengths, and thus must use random sleep schedules until they have estimated them. During this initialization phase, any other scheme for distributed Bayesian estimation utilizing communication among the same nodes must have equal or worse performance to EP. We discuss the sub-optimality of some other proposed schemes for distributed estimation in sensor networks: consensus propagation and distributed adaptive filtering, arguing that these techniques may presently be seen as seeking suboptimal performance among particular cost functions and with a goal of reduced computation and complexity relative to EP.
{"title":"Optimality of expectation propagation based distributed estimation for wireless sensor network initialization","authors":"J. MacLaren Walsh, S. Ramanan, P. Regalia","doi":"10.1109/SPAWC.2008.4641682","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641682","url":null,"abstract":"We establish that expectation propagation (EP), under some mild requirements and when properly organized, provides sensors with optimal Bayes estimators during the initialization phase of a large randomly deployed wireless sensor network, regardless of the cost function chosen. We are considering the initialization phase to be the period during which the sensors do not yet know their locations and channel/interference strengths, and thus must use random sleep schedules until they have estimated them. During this initialization phase, any other scheme for distributed Bayesian estimation utilizing communication among the same nodes must have equal or worse performance to EP. We discuss the sub-optimality of some other proposed schemes for distributed estimation in sensor networks: consensus propagation and distributed adaptive filtering, arguing that these techniques may presently be seen as seeking suboptimal performance among particular cost functions and with a goal of reduced computation and complexity relative to EP.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122482289","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641634
D. Toumpakaris, Jungwon Lee, E. W. Jang, H. Lou
Hybrid automatic repeat request (HARQ) improves the throughput performance of ARQ by combining retransmission of packets with forward error correction coding. In MIMO systems employing HARQ and equalization, optimal performance at the receiver is obtained when the signals corresponding to each transmission are combined before the equalizer. Performance can be exchanged for reduced receiver memory by first equalizing the signals after each individual reception and then combining them. For systems that use bit-level combining, post-equalization combining may be the only option for equalizer-based receiver implementation. In this paper the performance limit of post-equalization combining is derived for both linear and decision feedback equalizers used by receivers of HARQ MIMO systems. Moreover, pre-equalization combining and post-equalization combining architectures are compared in terms of the storage-performance tradeoff that they achieve.
{"title":"Storage-performance tradeoff for receivers of MIMO systems using hybrid ARQ","authors":"D. Toumpakaris, Jungwon Lee, E. W. Jang, H. Lou","doi":"10.1109/SPAWC.2008.4641634","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641634","url":null,"abstract":"Hybrid automatic repeat request (HARQ) improves the throughput performance of ARQ by combining retransmission of packets with forward error correction coding. In MIMO systems employing HARQ and equalization, optimal performance at the receiver is obtained when the signals corresponding to each transmission are combined before the equalizer. Performance can be exchanged for reduced receiver memory by first equalizing the signals after each individual reception and then combining them. For systems that use bit-level combining, post-equalization combining may be the only option for equalizer-based receiver implementation. In this paper the performance limit of post-equalization combining is derived for both linear and decision feedback equalizers used by receivers of HARQ MIMO systems. Moreover, pre-equalization combining and post-equalization combining architectures are compared in terms of the storage-performance tradeoff that they achieve.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117169205","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641564
M. Souden, S. Affes, J. Benesty
We propose a new simple and accurate approach to estimate the Doppler spread which is a key parameter in the context of wireless communication systems. This new approach stems from the well known fact that the crosscorrelation of the channel is a weighted summation of monochromatic plane waves (or inverse Fourier transform of its power spectral density). In the case of Doppler spread, these plane waves are locally distributed around a main frequency which is nothing but the carrier frequency offset (CFO). This special feature accounts for the Taylor series expansions that we use herein to develop a two-ray spectrum approximate model. The resulting approximation allows us to determine a new simple and accurate closed-form estimator of the Doppler spread under the unique symmetry assumption on the channelpsilas spectrum. Simulations illustrate the advantages of the proposed technique and its robustness to the CFO.
{"title":"A two-ray spectrum-approximation approach to Doppler spread estimation with robustness to the carrier frequency offset","authors":"M. Souden, S. Affes, J. Benesty","doi":"10.1109/SPAWC.2008.4641564","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641564","url":null,"abstract":"We propose a new simple and accurate approach to estimate the Doppler spread which is a key parameter in the context of wireless communication systems. This new approach stems from the well known fact that the crosscorrelation of the channel is a weighted summation of monochromatic plane waves (or inverse Fourier transform of its power spectral density). In the case of Doppler spread, these plane waves are locally distributed around a main frequency which is nothing but the carrier frequency offset (CFO). This special feature accounts for the Taylor series expansions that we use herein to develop a two-ray spectrum approximate model. The resulting approximation allows us to determine a new simple and accurate closed-form estimator of the Doppler spread under the unique symmetry assumption on the channelpsilas spectrum. Simulations illustrate the advantages of the proposed technique and its robustness to the CFO.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132657371","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641655
Jong-Deuk Kim, Jae-Sun Jeong, Y. Byun
Wireless communication systems must be designed to mitigate fading to guarantee a reliable communication. In future technologies, a successful method to improve reliable communication over a wireless link is to use multiple antennas. Recently, a lot of effort has been put into designing closed-loop STBCs schemes with a full rate, full diversity and some array gain for four transmit antennas with one or two bit feed back in the case of two complex symbols transmission, respectively. In this paper, we propose a new enhancement of diversity using joint space-time block codes for four transmit antennas with one bit feedback. We show that the proposed scheme can achieve a full diversity, full rate and some array gain with simple linear decoding, and it has the same performance compare to EO-STBCs for four transmit antennas with two complex transmit symbols .
{"title":"Enhancement of diversity using joitn Space-Time Block Codes for four transmit antennas","authors":"Jong-Deuk Kim, Jae-Sun Jeong, Y. Byun","doi":"10.1109/SPAWC.2008.4641655","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641655","url":null,"abstract":"Wireless communication systems must be designed to mitigate fading to guarantee a reliable communication. In future technologies, a successful method to improve reliable communication over a wireless link is to use multiple antennas. Recently, a lot of effort has been put into designing closed-loop STBCs schemes with a full rate, full diversity and some array gain for four transmit antennas with one or two bit feed back in the case of two complex symbols transmission, respectively. In this paper, we propose a new enhancement of diversity using joint space-time block codes for four transmit antennas with one bit feedback. We show that the proposed scheme can achieve a full diversity, full rate and some array gain with simple linear decoding, and it has the same performance compare to EO-STBCs for four transmit antennas with two complex transmit symbols .","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104184","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641652
A. N. Barreto, Robson D. Vieira
Receive diversity with multiple antennas is a very well-known technique to improve receiver performance in fading environments. The concept is particularly simple in OFDM systems, where the channel effect on each subcarrier amounts to a complex multiplication of the transmitted symbol. It is also well known that, provided the antenna noise covariance matrix is known by the receiver, interference rejection combining (IRC) is the optimal linear combining solution. However, estimation of this matrix is usually unfeasible, in which case suboptimum combining techniques such as antenna selection, equal gain combining (EGC) and maximum ratio combining (MRC) are employed. MRC is commonly employed, because it is the optimum technique for uncorrelated noise. However, we will see in this contribution that when interference is taken into account, sub-optimum MRC or EGC may be a better choice.
{"title":"A critical analysis of receiver diversity with multiple antennas with spatially coloured noise","authors":"A. N. Barreto, Robson D. Vieira","doi":"10.1109/SPAWC.2008.4641652","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641652","url":null,"abstract":"Receive diversity with multiple antennas is a very well-known technique to improve receiver performance in fading environments. The concept is particularly simple in OFDM systems, where the channel effect on each subcarrier amounts to a complex multiplication of the transmitted symbol. It is also well known that, provided the antenna noise covariance matrix is known by the receiver, interference rejection combining (IRC) is the optimal linear combining solution. However, estimation of this matrix is usually unfeasible, in which case suboptimum combining techniques such as antenna selection, equal gain combining (EGC) and maximum ratio combining (MRC) are employed. MRC is commonly employed, because it is the optimum technique for uncorrelated noise. However, we will see in this contribution that when interference is taken into account, sub-optimum MRC or EGC may be a better choice.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087720","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 : 2008-07-06DOI: 10.1109/SPAWC.2008.4641610
L. Pescosolido, S. Barbarossa, G. Scutari
Average consensus algorithms have attracted popularity in the wireless sensor network scenario as a simple way to compute linear combinations of the observations gathered by the sensors, in a totally decentralized fashion, i.e., without a fusion center. However, average consensus techniques involve the iterated exchange of data among sensors. In a practical implementation, this interaction is affected by noise. The goal of this paper is to bring some common adaptive signal processing techniques into the sensor network context in order to robustify the iterative exchange of data against communication noise. In particular, we will compare the performance of two algorithms: (a) a method, reminiscent of stochastic approximation algorithms, using a decreasing step size, with proper decaying law, and (b) a leakage method imposing that the consensus cannot be too distant from the initial measurements. We provide a theoretical analysis, validated by simulation results, of both methods to show how to derive the best tradeoff between the system parameters in order to get the minimum estimation variance, taking into account both observation and interaction noise.
{"title":"Average consensus algorithms robust against channel noise","authors":"L. Pescosolido, S. Barbarossa, G. Scutari","doi":"10.1109/SPAWC.2008.4641610","DOIUrl":"https://doi.org/10.1109/SPAWC.2008.4641610","url":null,"abstract":"Average consensus algorithms have attracted popularity in the wireless sensor network scenario as a simple way to compute linear combinations of the observations gathered by the sensors, in a totally decentralized fashion, i.e., without a fusion center. However, average consensus techniques involve the iterated exchange of data among sensors. In a practical implementation, this interaction is affected by noise. The goal of this paper is to bring some common adaptive signal processing techniques into the sensor network context in order to robustify the iterative exchange of data against communication noise. In particular, we will compare the performance of two algorithms: (a) a method, reminiscent of stochastic approximation algorithms, using a decreasing step size, with proper decaying law, and (b) a leakage method imposing that the consensus cannot be too distant from the initial measurements. We provide a theoretical analysis, validated by simulation results, of both methods to show how to derive the best tradeoff between the system parameters in order to get the minimum estimation variance, taking into account both observation and interaction noise.","PeriodicalId":197154,"journal":{"name":"2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131219419","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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