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Pilot power allocation for CDMA systems with antenna arrays

Pilot power allocation for CDMA systems with antenna arrays

引用

1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Thompson, JS Bevan, DDN Univ Edinburgh Dept Elect Engn Signals & Syst Grp Edinburgh EH9 3JL Midlothian Scotland

ISBN: (纸本)0780363396

This paper discusses the uplink of a third generation code division multiple access wireless system using antenna arrays at the base station. Each user sends a pilot signal with their modulated data, whose power can be varied as required by the base station. The uplink is then detected coherently using the pilot signal to estimate the channel coefficients for each mobile. Theoretical results on signal-to-noise ratio (SNR) degradation due to imperfect channel estimation are used to determine the optimum power allocation for the pilot signal in a Rayleigh fading environment. The results can be used for any SNR, for any channel Doppler frequency and for any receiver array size.

关键词： Antenna arrays Base stations Channel estimation Diversity reception Gaussian noise Multiaccess communication Rayleigh channels Receiving antennas signal to noise ratio Transmitters

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A Kalman filtering approach to joint MIMO channel tracking and symbol decoding for orthogonal space-time block codes

A Kalman filtering approach to joint MIMO channel tracking a...

引用

4th ieee sensor array and multichannel signal processing workshop

作者： Balakumar, Balasingam Shahbazpanahi, Shahram Kirubarajan, Thia McMaster Univ Dept Elect & Comp Engn Hamilton ON L8S 4K1 Canada Univ Ontario Inst Technol Fac Engn & Appl Sci London ON N6A 3K7 Canada

ISBN: (纸本)1424403081

In this paper, we study the problem of MIMO channel tracking for communication systems that use orthogonal space-time block codes as the underlying space-time coding scheme. For such systems, we develop a two-step channel tracking algorithm. As the first step, our proposed method uses Kalman filtering to obtain an initial channel estimate, for each block, based on the channel estimate obtained for the previous block. In the second step, we use an iterative decision-directed method to refine the initial channel estimate obtained in the first step. We show that due to specific structure of OSTBC, both steps can be significantly simplified. Simulation results show that, for a training repetition period of 10 blocks, this algorithm can have a performance within 1 dB, in terms of SNR, from the coherent ML receiver which has the perfect knowledge of the channel.

关键词： Kalman filters

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A Multi-Channel Partial-Update Algorithm for Sea Clutter Suppression in Passive Bistatic Radar 10

A Multi-Channel Partial-Update Algorithm for Sea Clutter Sup...

引用

10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Ma, Yahui Liu, Shengheng Lu, Jun China Acad Elect & Informat Technol Beijing 100041 Peoples R China Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China Univ Edinburgh Sch Engn Edinburgh EH9 3FG Midlothian Scotland

ISBN: (纸本)9781538647523

Sea clutters with Doppler-varying spectrum exert a notable negative impact on the detection performance, especially with low-velocity targets, when a passive bistatic radar is employed to detect sea-surface targets. One feasible solution is to modulate the reference signal onto the Doppler dimension and, as such, a filter with a wide notch and sharp edges can be obtained to suppress the residual clutters. However, to achieve this goal, a considerably high computational complexity is demanded in the existing two-dimensional (2D) adaptive filters. In this context, a novel 2D partial-update normalized least mean square algorithm is proposed to reduce the computational load, as well as to yield a superior clutter suppression performance. The effectiveness of the proposed approach is verified by real-data experiments.

关键词： Passive bistatic radar (PBR) multi-channel filtering sea clutter adaptive cancellation computational complexity

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Adaptive processing to correct for organ motion artifacts in X-ray CT medical imaging systems

Adaptive processing to correct for organ motion artifacts in...

引用

1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Dhanantwari, AC Stergiopoulos, S Def & Civil Inst Environm Med Toronto ON M3M 3B9 Canada

ISBN: (纸本)0780363396

X-ray CT scanners provide images of transverse cross sections of the human body from a large number of projections. During the data acquisition process, which usually takes about one second, motion such as respiration, cardiac motion and patient restlessness produce artifacts that appear as blurring in the reconstructed images and may lead to inaccurate diagnosis. This paper proposes a motion correction method that makes no assumptions about the properties of the motion. The approach uses a spatial overlap correlator (SOC) scheme to track organ motion in computed tomography (CT) imaging systems. An adaptive interference cancellation (AIC) algorithm is then used to correct for organ-motion artifacts. Synthetic data tests demonstrate the validity of this approach.

关键词： Adaptive systems Computed tomography Correlators Data acquisition Humans Image reconstruction Interference cancellation Testing Tracking X-ray imaging

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Cramer-Rao bounds for estimating range, velocity, and direction with a sensor array

Cramer-Rao bounds for estimating range, velocity, and direct...

引用

1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Dogandzic, A Nehorai, A Univ Illinois EECS Dept MC154 Chicago IL 60607 USA

ISBN: (纸本)0780363396

We derive Cramer-Rao bound (CRB) expressions for the range (time delay), velocity (Doppler shift), and direction of a point target using an active radar or sonar array. The CRB expressions are derived for an arbitrary signal waveform and a noise model that allows both spatial and temporal correlation. We discuss the relationship between the CRB and ambiguity function for this model. Then, we simplify the CRB for the cases of temporally or spatially uncorrelated noise. We compute the CRB for a 3-dimensional array with isotropic sensors in spatially uncorrelated noise and show that it is a function of the array geometry only through the "moments of inertia" of the array. The volume of the confidence region for the target's location is proposed as a measure of accuracy. For this measure, we show that the highest (and lowest) target location accuracy is achieved if the target lies along one of the principal axes of inertia of the array.

关键词： Antenna arrays Baseband Delay effects Delay estimation Doppler radar Doppler shift Radar antennas sensor arrays Sonar Volume measurement

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signal waveform design for high resolution target localization in through-the-wall radar 11

Signal waveform design for high resolution target localizati...

引用

ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Huang, Chen Liu, Hongqing Gan, Lu Luo, Zhen Zhou, Yi Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing Peoples R China Chongqing Univ Posts & Telecommun Chongqing Key Lab Mobile Commun Technol Chongqing Peoples R China Brunel Univ Coll Engn Design & Phys Sci London UB8 3PH England

ISBN: (纸本)9781728119465

This work studies the effects of different waveform designs on the clutter removal and target localization in through-the-wall radar (TWR) system. To removal the wall clutter, its low-rank property is utilized, whereas the sparse property of the target returns is exploited to perform target reconstruction. As a result, a joint low-rank and sparse model is developed where alternating direction method of multipliers (ADMM) is utilized to solve the corresponding optimization. Moreover, to demonstrate the performances of different waveforms, three well-known signals including mono-frequency, stepped-frequency, and frequency-modulated continuous-wave (FMCW) waveforms have been selected for transmit. The experimental results show advantages and disadvantages of each waveform.

关键词： Through-the-wall radar clutter mitigation low-rank sparse reconstruction waveforms

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A parametric spatio-temporal channel estimation technique for FDD UMTS uplink

A parametric spatio-temporal channel estimation technique fo...

引用

1st ieee sensor array and multichannel signal processing workshop (SAM 2000)

作者： Chenu-Tournier, M Chevalier, P Barbot, JP Thomson CSF Commun BSR TBRTSI F-92231 Gennevilliers France

ISBN: (纸本)0780363396

Many multi-user receivers have been developed these last years to mitigate the effects of both multi-paths and interferences in CDMA radiocommunication networks. However;despite of these works, very few papers have been devoted to the implementation of these receivers and, more precisely to the channel estimation problem in both multi-user and FDD UMTS context. Assuming specular propagation channels and a multi-sensor receiver the purpose of this paper is to present a parametric technique for the joint estimation of the delays and angles of arrival of the propagation channels between each user and the array of sensor for the FDD UMTS uplink. The quality of the latter are then evaluated through mean square error (MSE) computations and bit error rates (BER) after demodulation at the output of two receivers (2D-RAKE and Decorrelator receiver) adapted to the FDD UMTS uplink.

关键词： 3G mobile communication Bit error rate Channel estimation Delay estimation Demodulation Interference Mean square error methods Multiaccess communication Propagation delay sensor arrays

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Fast multilinear Singular Value Decomposition for higher-order Hankel tensors

Fast multilinear Singular Value Decomposition for higher-ord...

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

作者： Boizard, Maxime Boyer, Remy Favier, Gerard Larzabal, Pascal Supelec LSS F-91192 Gif Sur Yvette France ENS Cachan SATIE F-94230 Cachan France Univ Nice Sophia Antipolis I3S F-06903 Sophia Antipolis France

ISBN: (纸本)9781479914814

The Higher-Order Singular Value Decomposition (HOSVD) is a possible generalization of the Singular Value Decomposition (SVD) to tensors, which have been successfully applied in various domains. Unfortunately, this decomposition is computationally demanding. Indeed, the HOSVD of a Nth - order tensor involves the computation of the SVD of N matrices. Previous works have shown that it is possible to reduce the complexity of HOSVD for third-order structured tensors. These methods exploit the columns redundancy, which is present in the mode of structured tensors, especially in Hankel tensors. In this paper, we propose to extend these results to fourth order Hankel tensor. We propose two ways to extend Hankel structure to fourth order tensors. For these two types of tensors, a method to build a reordered mode is proposed, which highlights the column redundancy and we derive a fast algorithm to compute their HOSVD. Finally we show the benefit of our algorithms in terms of complexity.

关键词： Tensor Singular value decomposition Hankel Swine vesicular disease

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Compressive Noise Radar for Urban Sensing

Compressive Noise Radar for Urban Sensing

引用

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

作者： Shastry, Mahesh C. Narayanan, Ram M. Rangaswamy, Muralidhar 3M Co Corp Res Lab St Paul MN 55144 USA Penn State Univ Dept Elect Engn University Pk PA 16802 USA Air Force Res Lab Wright Patterson AFB OH 45433 USA Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781479914814

Ultra-wideband (UWB) noise-like transmit waveforms are ideally suited for implementing compressive radar range-profile imaging systems. Due to useful properties such as robustness to interference, simplicity of hardware design, and high range resolution, UWB noise radar has been successfully applied to urban-sensing scenarios. Compressive noise radar systems can achieve resolutions comparable to conventional systems at lower sampling rates, thus enabling super-resolution in radar imaging. In this paper, compressive noise radar imaging is experimentally shown to be feasible for urban sensing applications. S-band through-the-wall imaging results demonstrate the feasibility of using compressive noise radar for sensing obscured targets of interest in urban scenarios.

关键词： noise radar computer hardware design Ultra wideband technologies super-resolution

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Gridless Sound Field Decomposition Based on Reciprocity Gap Functional in Spherical Harmonic Domain 10

Gridless Sound Field Decomposition Based on Reciprocity Gap ...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Takida, Yuhta Koyama, Shoichi Ueno, Natsuki Saruwatari, Hiroshi Univ Tokyo Grad Sch Informat Sci & Technol Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan Paris Diderot Univ CNRS Inst Langevin ESPCIUMR 7587 1 Rue Jussieu F-75005 Paris France

ISBN: (纸本)9781538647523

A gridless sound field decomposition method based on the reciprocity gap functional (RGF) is proposed. An intuitive and powerful way of reconstructing a sound field inside a region including sound sources is to decompose the sound field into Green's functions. Current methods based on sparse representation require discretization of the reconstruction region into grid points to construct the dictionary matrix;however, this procedure causes an off-grid problem and has a high computational cost. We apply the RGF, which was first proposed in the field of inverse problems, to sound field decomposition in the spherical harmonic domain. The proposed method enables a sound field to be decomposed in a gridless manner with a computationally efficient algorithm. Numerical simulation results indicated that the reconstruction accuracy as well as the source localization accuracy can be improved by the proposed method compared with current methods, especially at low frequencies.

关键词： reciprocity gap functional sound field decomposition source identification spherical harmonic

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