Generalized Resolution in Radar Systems

Urkowitz, H.; Hauer, Christoph; Koval, J.F.

doi:10.1109/jrproc.1962.288247

Cited by 48 publications

(15 citation statements)

References 4 publications

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“…It is seen that the array ambiguity function appears as part of the statistic. The ambiguity function here differs from that introduced by Urkowitz et al [11] in that it is for a discrete array and no specific array illumination pattern is required. That of Urkowitz et a.…”

Section: Introductionmentioning

confidence: 89%

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

McGarty

1974

IEEE Trans. Aerosp. Electron. Syst.

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A model is presented for the estimation of azimuth and elevation in a dispersive media where the signals come from a continuum of directions. These bounds depend upon the array ambiguity patterns and the channel spread function. Specific cases are discussed showing how the result reduces to an easily tractable analytical tool in many cases of interest. The model discussed is applicable to angular estimation performance in the presence of such interference as diffuse multipath, chaff clouds, vertical angle of arrival spread in sonar systems, and turbulent and multiply scattered optical channels.

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Section: Introductionmentioning

confidence: 89%

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

McGarty

1974

IEEE Trans. Aerosp. Electron. Syst.

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“…where s i (t) is the complex envelope of the signal from the i-th transmitter and f c is the carrier frequency. By substituting (10) in (8) and after removing the carrier the received signal can be expressed as:…”

Section: Signal Modelmentioning

confidence: 99%

“…However, ever since it was firstly introduced various interpretations were adapted to suit different applications of interest. Namely a number of wideband AFs have been investigated in [7]- [9] while in [10] an AF parametrised by azimuth, elevation, range and Doppler was introduced.…”

Section: Introductionmentioning

confidence: 99%

Generalized Ambiguity Function for MIMO Radar Systems

Ilioudis

Clemente

Proudler

et al. 2019

IEEE Trans. Aerosp. Electron. Syst.

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In this work a generalised signal model is presented to accommodate both narrowband and wideband signals in a multi-input multi-output (MIMO) sensor system scenarios. The derived model is then used to define a MIMO ambiguity function (AF) based on the Kullback-Leibler divergence (KLD). Moreover, the proposed formulation is parametrised using the signal and channel correlation matrices to account for different waveform and sensor placement designs, thereby allowing a flexible modelling approach. A comparison between the proposed definition and the more conventional approach of summing the squared matched filter outputs is presented for different sensors and waveforms configurations.

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“…Woodward applied the two-dimensional matched filter response to the analysis of radar resolution [17]. The ambiguity function was extended to include the co-ordinates of azimuth and elevation in [18]. Rihaczek concluded that the optimum radar signal for target resolution is the one that is matched to the environment [19].…”

Section: Need For Multimodal Radarmentioning

confidence: 99%

Design, Performance and Optimization for Multimodal Radar Operation

Bhat

Narayanan

Rangaswamy

2012

Sensors

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This paper describes the underlying methodology behind an adaptive multimodal radar sensor that is capable of progressively optimizing its range resolution depending upon the target scattering features. It consists of a test-bed that enables the generation of linear frequency modulated waveforms of various bandwidths. This paper discusses a theoretical approach to optimizing the bandwidth used by the multimodal radar. It also discusses the various experimental results obtained from measurement. The resolution predicted from theory agrees quite well with that obtained from experiments for different target arrangements.

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Generalized Resolution in Radar Systems

Cited by 48 publications

References 4 publications

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

Generalized Ambiguity Function for MIMO Radar Systems

Design, Performance and Optimization for Multimodal Radar Operation

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