Maximum angular accuracy of tracking a radio star by lobe comparison

Manasse, R.

doi:10.1109/tap.1960.1144808

Cited by 19 publications

(2 citation statements)

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“…The amplitude variation may be due to range variations, positioning of the transmitter antenna, fading in the medium, and also due to variations of the transmitter power about some nominal value. Thus, the signal received is of the form vch s(t) exp (jfpch) (5) where vch represents the channel gain effects and 'Pch iS channel phase characteristics. Now, vch is assumed to be a Rayleigh random variable with variance 2Gb2, so that the received signal can be written as bs(t) where b = b, -jb5 and bc and b5 are independent zero-mean Gaussian random variables of variance ab2.…”

Section: The Model and Performancementioning

confidence: 99%

“…It is felt that this model represents a suitable embodiment of the actual phenomenon, since the amplitude is generally unknown due to antenna orientation, range uncertainties, etc. The model used by Manasse [5], that of the signal process being a random process, does not hold, since the signal is assumed time-invariant over the processing interval.…”

Section: Introductionmentioning

confidence: 99%

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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: The Model and Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

McGarty

1974

IEEE Trans. Aerosp. Electron. Syst.

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The Use of Solar Radio Emission for the Measurement of Radar Angle Errors

Kennedy¹,

Rosson²

1962

Bell System Technical Journal

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Phase Principle for Measuring Location or Spectral Shape of a Discrete Radio Source

Rainal¹

1968

Bell System Technical Journal

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This paper describes a phase principle for measuring the location or the spectral shape of a discrete radio source. The phase principle is relatively simple to implement and leads to a measurement of location or spectral shape which is insensitive to receiver gain fluctuations. For measuring the location of a weak, discrete radio source, the theoretical accuracy is slightly better than the theoretical accuracy resulting from the Ryle interferometer. For measuring the spectral shape of a weak, discrete radio source, the theoretical accuracy is slightly better than the theoretical accuracy resulting from either the Ryle interferometer or the Dicke radiometer. Furthermore, the implementation of the phase principle doesn't require input switching. Also, the calibration curve associated with the phase principle is independent of changes in the average receiver gains of the two receivers.

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Maximum angular accuracy of tracking a radio star by lobe comparison

Cited by 19 publications

References 3 publications

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

Azimuth-Elevation Estimation Performance of a Spatially Dispersive Channel

The Use of Solar Radio Emission for the Measurement of Radar Angle Errors

Phase Principle for Measuring Location or Spectral Shape of a Discrete Radio Source

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