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检索条件"任意字段=2nd IEEE Sensor Array and Multichannel Signal Processing Workshop"

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MIMO radar space-time adaptive processing for multipath clutter mitigation

MIMO radar space-time adaptive processing for multipath clut...

引用

4th ieee sensor array and multichannel signal processing workshop

作者： Mecca, Vito F. Ramakrishnan, Dinesh Krolik, Jeffrey L. Duke Univ Dept Elect & Comp Engn Durham NC 27708 USA

ISBN: (纸本)1424403081

This paper describes a multiple-input-multiple-output (MIMO) generalization of space-time adaptive processing (STAP) to mitigate radar clutter subject to multipath propagation between transmit and receive arrays. Multipath clutter can occur when surface returns are multiply scattered, causing significant Doppler frequency and wavenumber spreads. In the worst case, multipath propagation may cause Doppler spread clutter to return via the receiver mainlobe. In such situations, conventional STAP cannot mitigate Doppler spread mainlobe clutter without also suppressing the target. MIMO radar techniques using orthogonal waveforms have been proposed for increasing radar coverage rate often at the expense of employing significantly larger radar time-bandwidth products. In this paper, we consider a MIMO approach wherein conventional radar waveforms are phase-coded to be orthogonal after Doppler processing at the receiver, i.e. in "slow-time." Slow-time MIMO has the advantages of being bandwidth efficient and easily implemented without the need to modify the receiver before range pulse-compression. In this paper, the mathematical formulation of MIMO STAP is developed for both direct-path and multipath clutter scenarios. At each slant range, the MIMO STAP processor operates on a receive sensor, transmitted pulses, and slow-time phase code channel data cube. Coherent combination of the decoded slow-time channels at the receiver permits effective control of the transmit array pattern by receive post-processing as a function of slant range. Simulation results demonstrate SNR gains when a transmit null is steered in the outbound direction towards the multiply scattered clutter.

关键词： Radar

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Forward-looking planar array 3D-STAP using space time illumination patterns (STIP)

Forward-looking planar array 3D-STAP using space time illumi...

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4th ieee sensor array and multichannel signal processing workshop

作者： Corbell, Phillip M. Temple, Michael A. Hale, Todd B. SNHE Air Force Res Lab Hanscom AFB MA 01731 USA ENG Air Force Inst Technol Wright Patterson AFB OH USA

ISBN: (纸本)1424403081

Close-in sensing is needed for urban warfare operations, where Ground Moving Target Indication (GMTI) could be provided via forward or rear-facing multi-function array radars mounted on small highly-maneuverable airborne platforms. However, airborne radar arrays oriented any direction other than side-looking cause an elevation dependent angle-Doppler relationship in the clutter returns. This non-stationarity is acute in close-in sensing geometries where elevation diversity exists over the scene of interest. However, planar arrays have an inherent advantage over linear arrays due to their ability to observe clutter statistics as a function of elevation. This paper demonstrates the utility of elevation diversity by synthesizing a single 3D-STAP filter that exhibits an elevation dependent azimuth-Doppler response which is tailored to null the clutter "bowl" which characterizes the forward-looking clutter spectrum. Such a capability is particularly exploitable on transmit, where all elevation angles are simultaneously illuminated. To demonstrate potential benefits, this paper proposes the use of recently developed Space Time Illumination Patterns (STIP) from a planar AESA to invoke elevation diverse space-time illumination in a forward-looking clutter scenario. It is shown that 3D-STIP (azimuth-elevation-Doppler) facilitates elevation specific space-time beamforming which removes the clutter energy from a given Doppler frequency across all ranges, potentially simplifying processing on receive. Simulations using synthesized training data and clairvoyant covariance knowledge are conducted to demonstrate proof-of-concept.

关键词： Radar systems

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2006 ieee sensor array and multichannel signal processing workshop Proceedings SAM 2006

2006 IEEE Sensor Array and Multichannel Signal Processing Wo...

引用

4th ieee sensor array and multichannel signal processing workshop Proceedings, SAM 2006

ISBN: (纸本)1424403081

The proceedings contain 141 papers. The topics discussed include: robust adaptive beamforming using variable loading;single-snapshot beamformer performance using large arrays with faulty sensors;adaptive wideband beamforming with robustness against presteering errors;performance analysis of Krylov space adaptive beamformers;a hierarchical Bayesian approach to direction finding and beamforming;performance tradeoff among beamforming approaches;design of reduced-rank MVDR beamformers under finite sample-support;extreme beam broadening using phase only pattern synthesis;a lattice viewpoint for direction of arrival estimation using quantized time differences of arrival;DoA and polarization estimation using arbitrary polarimetric array configuration;efficient and accurate rectangular window subspace tracking;the array geometry design in airborne microwave 2-D direction finding;and unitary cyclic MUSIC for direction finding in GPS receivers.

关键词： signal processing

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Iterative Detection of Linear Objects in GPR and Seismic Images

Iterative Detection of Linear Objects in GPR and Seismic Ima...

引用

sensor array and multichannel signal processing workshop

作者： A.C. Gurbuz J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

An iterative technique for detecting linear features in 2D images based on the Radon transform is developed. The algorithm is suitable for processing ground penetrating radar (GPR) and seismic images to find underground pipes and tunnels. Detection is performed in the Radon transform space. The length and width of the linear object area are estimated and the corresponding portion of the image is removed at each iteration. The algorithm has the advantage of detecting very weak linear objects, which are barely detected by existing detection algorithms, in Radon transform space. The proposed algorithm is tested on both simulated and experimental data measured from a laboratory scale model area. Results show successful detection of strong and weak linear objects

关键词： Object detection Ground penetrating radar Radar detection Space technology Iterative algorithms Detection algorithms Testing Laboratories signal processing Image processing

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Beam Raster Scanning for 2D Flyover SAR

Beam Raster Scanning for 2D Flyover SAR

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sensor array and multichannel signal processing workshop

作者： J. Burki C.F. Barnes Department of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

Synthetic aperture radar (SAR) imaging technology has continued to evolve over the last few decades and the future holds promise. Beam raster scanning for 2D flyover SAR is yet another milestone in the evolutionary path of SAR imaging. This SAR imaging technique may have application in areas like passive unmanned aerial vehicle SAR. This paper builds on the 2D aperture synthesis concepts based upon rigorous analytical results presented by the authors earlier and elucidates the characteristics of sombrero point spread function and reconstruction in comparison to sine point spread function and reconstruction. This paper also explains the concept of 2D target area data collection scheme called flyover beam raster scanning

关键词： Radar polarimetry Synthetic aperture radar Image reconstruction Adaptive optics Optical scattering Optical signal processing Digital signal processing Chirp modulation Optical imaging Interpolation

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The Strong Uncorrelating Projection Approximation (SUPA) Algorithm for Decorrelating Complex Non-Circular Data

The Strong Uncorrelating Projection Approximation (SUPA) Alg...

引用

sensor array and multichannel signal processing workshop

作者： S.C. Douglas J. Eriksson V. Koivunen Department of Electrical Engineering Southern Methodist University Dallas TX USA Signal Processing Laboratory SMARAD CoE Helsinki University of Technology Espoo Finland

The second order statistics of stationary complex random vector signals are not completely specified by the data covariance matrix. Hence, conventional decorrelation methods may not suffice in removing dependencies within complex-valued signals; instead, strong-uncorrelation is required (J. Eriksson and V. Koivunen, 2006). In this paper, we develop a procedure for adaptively estimating the strong uncorrelating transform (SUT) by recasting this task as a series of one-dimensional signal approximation problems using a novel prewhitened cost and applying a modified version of the projection approximation subspace tracking with deflation (PASTd) algorithm to solve each problem. The algorithm updates with prewhitening are of O(n 2 ) complexity per n-element snapshot, and unlike other SUT algorithms, the technique can be used in a sequential fashion to identify any portion of the complex signal subspace by degree of signal non-circularity

关键词： Approximation algorithms Decorrelation signal processing algorithms Covariance matrix Statistics signal processing Symmetric matrices Multidimensional signal processing Wireless communication Independent component analysis

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Optimal Adaptive array and Angle Tracking for Multiple Targets - A Re-examination of Optimal array processing

Optimal Adaptive Array and Angle Tracking for Multiple Targe...

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sensor array and multichannel signal processing workshop

作者： Huaijin Gu Louisiana Tech University USA

ISBN: (纸本)1424403081

The optimal array for detecting the signal from a desired direction but contaminated by receiver noise and strong interference from different sources with unknown arriving-angles is re-examined. The well-known optimal array is obtained by inverting the covariance matrix of interference and noise to maximize the signal to interference and noise ratio (SINR). In practice, the covariance matrix is unknown and has to be estimated by a sample covariance matrix. The optimal array is thus estimated by inverting the sample covariance matrix. This procedure has been employed in optimal array research without challenge. However, it is shown in this paper that the estimated optimal array fails to yield the highest SINR in the case of unknown arriving-angles. Instead the highest SINR can be achieved by optimally estimating the arriving-angles of interference followed by a constrained matched filter, which maximizes the signal to noise ratio subject to canceling the interference from the estimated arriving-angles. In order to reduce the computational burden, an angle-tracking system for multiple targets is adopted to achieve the optimal estimation of arriving-angles. The resulting system of angle-tracking adaptive array offers the highest SINR at a computational burden only on 2 the order of N middot M 2 multiplications within a radar range-cellDeltatau, rather than N 3 multiplications in the well-known but questionable estimated optimal array. Here N is the number of sensors in the array and M the number of interference sources. Typically, N = 1,000 in a planar radar array, M = 2-10 and Deltatau = 1 mus. Numerical simulations confirm the theoretical results

关键词： Adaptive arrays Target tracking array signal processing signal to noise ratio Interference Covariance matrix sensor arrays Radar tracking signal detection Yield estimation

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The array Geometry Design in Airborne Microwave 2-D Direction Finding

The Array Geometry Design in Airborne Microwave 2-D Directio...

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sensor array and multichannel signal processing workshop

作者： Cheol-Sun Park Won Jang Dae-Young Kim EW Laboratory Agency for Defence Development South Korea Department of Information & Communication Engineering Chungnam National University South Korea

ISBN: (纸本)1424403081

The resolving ambiguity of phase interferometer is necessary when the baseline separation between elements exceeds half wavelength since the phase difference between elements can only be measured modulo 2pi. It is difficult to meet the condition the minimum distance between two antennas is less than half wavelength for avoiding ambiguity in wideband operation. In this paper, we propose a simple and efficient array design method which minimizes the probability of ambiguity. This method adapts NLA (nonuniform linear array) geometry. And there is no need to maintain the distance between antennas less than half wavelength. We also show some numerical examples and experimental results of the 2-D array prototype for airborne application

关键词： Microwave antenna arrays Broadband antennas Antenna measurements Phase measurement Wavelength measurement Design methodology Adaptive arrays Linear antenna arrays Information geometry Prototypes

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Application of 2D-Direction Locked Loop Tracking Algorithm to Mobile Satellite Communications

Application of 2D-Direction Locked Loop Tracking Algorithm t...

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sensor array and multichannel signal processing workshop

作者： R. Gieron P. Siatchoua IMST GmbH Kamp-Lintfort Germany

Mobile satellite terminals especially with high-gain antenna require fast and accurate beam tracking algorithms for communication. The main topic of this paper is the extension of a tracking algorithm to mobile satellite communications, its implementation and performance. The presented considerations and simulation results concern low SNR condition and narrow antenna beam configuration as existing in satellite communications. The assumed satellite is geostationary. The work is presented in context of SANTANA-2 project, (Smart Antenna Terminal), founded and supported by the German DLR on behalf of BMBF. The realized terminal uses an antenna array in Ka-band and fully implements digital beamforming (DBF) to control the beam pointing direction and the antenna beam shape

关键词： Tracking loops Satellite communication Satellite antennas Directive antennas Shape control Artificial satellites Mobile antennas Mobile communication Context Antenna arrays

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Study of an energy efficient multi rate scheme for wireless sensor network MAC protocol

Study of an energy efficient multi rate scheme for wireless ...

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Q2SWinet 2006: 2nd ACM International workshop on Quality of Service and Security in Wireless and Mobile Networks

作者： Wei, Wang Dongming, Peng Honggang, Wang Sharif, Hamid Computer and Electronics Engineering University of Nebraska - Lincoln 6001 Dodge Street Omaha NE 68124

ISBN: (纸本)1595934863

Real-time Digital signal processing (DSP) applications in wireless sensor network are often multi-rate in nature. These multi rate attributes provide additional significant opportunities in network design for achieving higher energy efficiency, besides traditional approaches of saving energy. In this paper, we propose a novel multi rate sensor network scheme to take advantage of power scaling for saving energy consumption. It can be easily synthesized into existing wireless sensor network MAC protocols, providing multi rate service for upper layer, and achieving communication energy efficiency. By monitoring a desirable BER threshold as the critical system parameter, the quality of received multi-rate data is assured. Based on this BER and the corresponding modulation scheme, the SNR at receiver end can be derived. The transmission power can be supplied optimally according to this SNR and the channel attenuation between sender and receiver. This dynamic power scaling scheme can lead to optimal energy efficiency since it demands that only a necessary amount of communication energy be consumed for multi-rate DSP applications. Our simulation shows that this multi data rate scheme with dynamic power scaling achieves energy saving significantly. Copyright 2006 ACM.

关键词： Wireless sensor networks

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