Spatio-temporal spectral analysis by eigenstructure methods

Wax, M.; Shan, Tie-Jun; Kailath, T.

doi:10.1109/tassp.1984.1164400

Cited by 488 publications

(155 citation statements)

References 30 publications

(1 reference statement)

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“…The incoherent signal subspace method (ISSM) [8] is the simplest wideband DOA estimation method which estimates the signal and noise subspace at each frequency independently and then the estimated DOAs from each frequency bin are averaged in some way to get the final estimate. This method, as mentioned in the earlier section, suffers at low SNR [7].…”

Section: B Review Of Coherent and Incoherent Methods Of Wideband Doamentioning

confidence: 99%

“…The incoherent signal subspace method (ISSM) [8] is the simplest wideband method which estimates the source DOAs separately at each narrowband frequency and then constructs the final estimate by taking an average. While this works well at high SNR, the performance can suffer severely at low SNR because even a single outlier from one narrowband component can potentially lead to inaccurate estimates through the averaging process.…”

Section: Introductionmentioning

confidence: 99%

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A novel autofocusing approach for estimating directions-of-arrival of wideband signals

Pal

Vaidyanathan

2009

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers

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Abstract-We propose a novel approach to the design of focusing matrices which play important role in the coherent methods for wideband direction-of-arrival estimation. We call this 'autofocusing' because unlike the conventional methods, our technique constructs the focusing matrices entirely by processing the received signal and does not require any preliminary DOA estimates. In this way, it overcomes the major drawback of the coherent methods which otherwise possess many desirable properties. Through computer simulations, the proposed method is found to exhibit satisfactory performance in comparison to the existing wideband DOA estimation algorithms. 1

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Section: B Review Of Coherent and Incoherent Methods Of Wideband Doamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel autofocusing approach for estimating directions-of-arrival of wideband signals

Pal

Vaidyanathan

2009

2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers

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“…Like the conventional methods for wideband sources [24][25][26], the received data is transformed to the frequency domain firstly, and each frequency bin can be represented by the narrowband model. Secondly, we make use of the fact that the relative distance between different elements (i.e.…”

Section: Introductionmentioning

confidence: 99%

Direction-of-arrival and Range Estimation of Wideband Sources in the Near Field

Lin

Xie

et al. 2017

MATEC Web Conf.

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Abstract. In this letter, we address the problem of wideband sources localization in the near field of the sensor array. It is shown that the spatial sampling rate can be considered as a function of temporal frequency so that wideband sources can be represented in the spatial frequency domain. A computationally efficient localization method is then developed based on the Toeplitz matrices constructed from the frequency-dependent cross-correlation between sensors. This allows us to resolve near field sources with quite a few numbers of sensors. Indeed, the sources can be located with fewer sensors. Finally, the simulation results are presented to validate the performance of the proposed method.

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“…Multi-dimensional signals are represented in the space and time domains while multidimensional spectra are represented in the wave vector and frequency domains [6,7]. Similar to unidimensional spectral estimations, multidimensional spectrum estimation is also a classical and well-established research topic [8][9][10][11][12][13]. However, realization and implementation of multidimensional spectrum estimation technique in largescale systems are still facing several challenges.…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Dimensional Spectrum Estimation Technique using Antenna Array Displacement

Pham

Grenier

Chouinard

2011

REV-JEC

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Abstract-Conventionally, in multi-dimensional spectral estimation techniques, each data snapshot in space is captured simultaneously. All antenna elements or sensors being used to collect data are sampled at the same time. By doing so, the size of the antenna array is proportional to the area of interest in space. The antenna array is prohibitively huge if the area that we want to cover is large. In this paper, in order to reduce the number of antenna elements in use, we propose a novel multi-dimensional spectrum estimation technique based on displacing small antenna arrays along predefined paths. It includes a data measurement technique which sequentially collects data samples within each snapshot in space according to a predefined order, and a spectral estimation technique which is based on the Discrete Fourier Transform (DFT) of the collected data. The key idea is to create a large synthetic antenna aperture by displacing a small antenna array along a predefined trajectory. Impinging waves are assumed uniform plane waves. The performance of the proposed technique is evaluated by simulation. The applications of the proposed technique include synthetic aperture radar, radar image processing and sonar systems.

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Spatio-temporal spectral analysis by eigenstructure methods

Cited by 488 publications

References 30 publications

A novel autofocusing approach for estimating directions-of-arrival of wideband signals

A novel autofocusing approach for estimating directions-of-arrival of wideband signals

Direction-of-arrival and Range Estimation of Wideband Sources in the Near Field

A Novel Multi-Dimensional Spectrum Estimation Technique using Antenna Array Displacement

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