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Distributed space-time codes in wireless relay networks

Distributed space-time codes in wireless relay networks

引用

3rd ieee sensor array and multichannel signal processing workshop

作者： Jing, YD Hassibi, B CALTECH Dept Elect Engn Pasadena CA 91125 USA

ISBN: (纸本)0780385454

We apply the idea of space-time coding devised for multi le antenna systems to the communication over a wireless relay network. We use a two stage protocol, where in one stage the transmitter sends information and in the other, the relay nodes encode their received signals into a "distributed" linear dispersion code, and then transmit the coded signals to the receiver. We show that for high SNR the pairwise error probability (PEP) behaves as (log P/P)(min{T,R}), with T the coherence interval, R the number of relay nodes and P the total transmit power. Thus, apart from the log P factor and assuming T >= R, the system has the same diversity as a multi-antenna system with R transmit antennas, which is the same as assuming that the R relay nodes can fully It cooperate and have full knowledge of the transmitted signal. We further show that for a fixed total transmit power across the entire network, the optimal power allocation is for the transmitter to expend half the power and for the relays to collectively expend the other half. We also show that at low and high SNR, the coding gain is the same as that of a multi-antenna system with R antennas. At intermediate SNR, it can be quite different, which has implications for the design of distributed space-time codes.

关键词： Space time adaptive processing

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Versatile robust Capon beamforming: Theory and applications

Versatile robust Capon beamforming: Theory and applications

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3rd ieee sensor array and multichannel signal processing workshop

作者： Li, J Stoica, P Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

ISBN: (纸本)0780385454

The standard Capon beamformer (SCB) has better resolution and much better interference rejection capability than the data-independent beamformer, provided that the array steering vector corresponding to the signal-of-interest (SOI) is accurately known. However, whenever the knowledge of the SOI steering vector is imprecise (as is often the case in practice), the performance of the Capon beamformer may become worse than that of the data-independent beamformer. Most of the early suggested robust adaptive methods are rather ad hoe in that the choice of their parameters are not directly related to the uncertainty of the steering vector. In this paper we provide a review of the recently proposed robust Capon beamformer (RCB) and doubly constrained robust Capon beamformer (DCRCB), which directly address the uncertainty of the steering vector and naturally extend the covariance fitting formulation of SCB to the case of uncertain steering vectors by enforcing a double constraint on the steering vector, viz. a constant norm constraint and an uncertainty set constraint. We also present several extensions and applications of RCB including constant-powerwidth RCB (CPRCB) and constant-beamwidth RCB (CBRCB) for acoustic imaging, rank-deficient robust Capon filter-bank (RCF) approach for spectral estimation, and rank-deficient RCB for landmine detection using forward-looking ground penetrating radar (FLGPR) imaging systems. The excellent performances of RCB, DCRCB, and the various extensions of RCB are demonstrated by simulated and experimental examples.

关键词： signal processing

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Subspace Tracking with Dynamical Models on the Grassmannian 13

Subspace Tracking with Dynamical Models on the Grassmannian

引用

13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Saad-Falcon, Alex Ancelin, Brighton Romberg, Justin Georgia Inst Technol Dept Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9798350344820;9798350344813

Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of linear subspaces of a high-dimensional vector space. We design regularized least squares algorithms based on common manifold operations and intuitive dynamical models. We demonstrate the efficacy of the approach for a narrowband beamforming scenario, where the dynamics of multiple signals of interest are captured by motion on the Grassmannian.

关键词： signal processing subspace estimation beamforming array processing grassmann manifold

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LOCALIZATION OF DIFFRACTED SEISMIC NOISE SOURCES USING AN array OF SEISMIC sensorS

LOCALIZATION OF DIFFRACTED SEISMIC NOISE SOURCES USING AN AR...

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ieee sensor array and multichannel signal processing workshop

作者： Gulunay, Necati CGGVeritas R&D Cairo Egypt

Seismic receiver arrays that are used in modem 3D marine surveys can also be used as 2D sensor arrays in the localization of the diffracted noise sources and hence allow attenuation of such noise from the seismic reco... 详细信息

ISBN: (纸本)9781424422401

关键词： Seismology

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Preprocessing Algorithm for Source Localisation in a Multipath Environment

Preprocessing Algorithm for Source Localisation in a Multipa...

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8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Venieris, Evangelos Manikas, Athanassios Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn Exhibit Rd London England

ISBN: (纸本)9781479914814

Several methods have been developed which allow the estimation of the location of an existing source with considerable accuracy in the absence of multipaths. However, if, in addition to the Line-of-Sight (LOS) path, non-LOS (NLOS) paths are also present, then all existing localisation algorithms dramatically fail to estimate the location of the source. In this paper, a passive array processing algorithm is proposed, which, if used prior to a localisation approach, suppresses all the multipath contributions in the received signal except for that of the LOS path. The performance of the proposed algorithm is evaluated through computer simulation studies.

关键词： array signal processing localisation multipath spherical wave propagation

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Sampling in the Graph signal processing Companion Model 13

Sampling in the Graph Signal Processing Companion Model

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Shi, John Moura, Jose M. F. Carnegie Mellon Univ Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)9798350344820;9798350344813

The classic DSP sampling property: "(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain." does not hold in the vertex Graph signal processing (GSP) model. Sampling uniformly in GSP does not lead to perfect replicas, but rather distorted replicas [1]. In [2], we introduced a Step 1-Step 2 Companion Model Method, S2CM2, as a way to introduce new GSP concepts. The GSP companion model is closest to the DSP time model (with different boundary conditions), making it easier to extend DSP concepts. In this paper, we consider GSP sampling in the companion model. We show that GSP sampling theory in the companion model is similar to DSP sampling theory by illustrating the four sampling steps: Subsampling, Decimation, Upsampling, Interpolation, in the companion model.

关键词： signal sampling

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Identical Partitioning of Consecutive Integer Set 13

Identical Partitioning of Consecutive Integer Set

引用

13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Zhang, Yimin D. Sun, Shunqiao Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA Univ Alabama Dept Elect & Comp Engn Tuscaloosa AL 35487 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we develop a scheme to partition a one- or multi-dimensional consecutive integer number set into multiple identical, possibly rotated, subsets. The proposed technique first exploits one-dimensional nested subsets, and the results are extended to achieve two- and multi-subset partitioning as well as in two- and multi-dimensional spaces. The number of consecutive lags in each case is examined. The results are useful to various sensing and communication applications, and sparse step-frequency waveform design for range estimation in automotive radar is demonstrated as an example.

关键词： integer set partition multi-dimensional partition sparse array sparse waveform design automotive radar

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Multi-Tier Structured array for Sensing Pilot Design in Integrated Sensing and Communication 13

Multi-Tier Structured Array for Sensing Pilot Design in Inte...

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Ren, Jiaying Tsai, Shawn Mediatek USA Inc Adv Commun Technol Commun Syst Design San Diego CA 92128 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we explore the use of large-scale sparse arrays for pilot placement in pilot-based sensing within integrated sensing and communication (ISAC) systems. Unlike conventional regular pilot placement method, sparse placement offers a significant reduction in overhead while maintaining high sensing performance. We present a novel large-scale sparse array construction method by introducing a multi-tier array structure. Using the proposed method, the design of large-scale sparse arrays can be simplified into several smaller-sized array design problems, significantly reducing computational complexity and storage requirements. Numerical examples demonstrate the effectiveness of the proposed method for low-overhead sensing pilot placement design, which is applicable in future 6G applications.

关键词： Integrated sensing and communication (ISAC) pilot design sparse array design orthogonal frequency division multiplexing (OFDM) 5G new radio 6G

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OPTIMAL NODE DENSITY FOR TWO-DIMENSIONAL sensor arrayS

OPTIMAL NODE DENSITY FOR TWO-DIMENSIONAL SENSOR ARRAYS

引用

ieee sensor array and multichannel signal processing workshop

作者： Sung, Youngchul Poor, H. Vincent Yu, Heejung Korea Adv Inst Sci & Technol Dept Elect Engn Taejon 305701 South Korea Princeton Univ Dept Elect Engn Princeton NJ 08544 USA

ISBN: (纸本)9781424422401

The problem of optimal node density for ad hoc sensor networks deployed for making inferences about two dimensional correlated random fields is considered. Using a symmetric first order conditional autoregressive Gauss-Markov random field model, large deviations results are used to characterize the asymptotic per-node information gained from the array. This result then allows an analysis of the node density that maximizes the information under an energy constraints yielding insights into the trade-offs among the information, density and energy.

关键词： Markov processes

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Frequency-Switching Sparse arrays 13

Frequency-Switching Sparse Arrays

引用

13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Zhang, Yimin D. Chowdhury, Md Waqeeb T. S. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9798350344820;9798350344813

In this paper, we propose high-resolution target direction-of-arrival (DOA) estimation using frequency-switching sparse arrays which implement multi-frequency sparse arrays in a low-complexity manner. Unlike multi-frequency sparse arrays which require processing of wideband signals comprising multiple frequency components, the proposed frequency-switching sparse arrays only need to process a single-frequency component at any time instant, thereby eliminating such hurdles and significantly reducing the system complexity. A frequency-switching sparse array achieves the same number of degrees-of-freedom as a multi-frequency counterpart with comparable DOA estimation performance. Numerical results on the DOA estimation performance and Cramer-Rao bounds are provided to illustrate the effectiveness of the proposed frequency-switching sparse arrays.

关键词： Sparse array direction-of-arrival estimation frequency diversity frequency-switching group sparsity

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