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P. K. Banerjee

Researcher at University of Burdwan

Publications -  62
Citations -  477

P. K. Banerjee is an academic researcher from University of Burdwan. The author has contributed to research in topics: Global Positioning System & GNSS applications. The author has an hindex of 10, co-authored 62 publications receiving 362 citations. Previous affiliations of P. K. Banerjee include National Physical Laboratory & Amity University.

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Degradation of navigational accuracy with Global Positioning System during periods of scintillation at equatorial latitudes

TL;DR: In this article, the effect of ionospheric scintillation on GPS accuracy in the equatorial region of the world has been investigated and it is shown that the accuracy of position fixing with the GPS as indicated by the PDOP (position dilution of precision) factor is degraded when the raypath from the satellite shows deep fading.
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Effect of nugget size and notch geometry on the high cycle fatigue performance of resistance spot welded DP590 steel sheets

TL;DR: In this article, the fatigue property of resistance spot welded DP steels in relation to weld nugget size, microstructures and notch geometry was evaluated and it was shown that fatigue performance under low load is better in joints with smaller nuggets, primarily because of delayed kinked crack initiation as opposed to accelerated kinking crack growth in larger nuggets with dual notches.
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Errors in position‐fixing by GPS in an environment of strong equatorial scintillations in the Indian zone

TL;DR: The signal-to-noise ratio (SNR) of the L1 (1.6 GHz) transmission from GPS and GLONASS satellites has been recorded at Calcutta (22.58°N, 88.38°E geographic; 32°N magnetic dip, 17.35°N dip latitude) since 1999 by a stand-alone coarse acquisition (C/A) code Ashtec receiver.
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Augmentation of GNSS Utility by IRNSS/ NavIC Constellation Over the Indian Region

TL;DR: The studies show that, in such situations of inferior GNSS satellite visibility, IRNSS/NavIC operating together with GPS, can augment this time-dependent degraded visibility conditions.
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A Novel Mathematical Model for Energy Detection Based Spectrum Sensing in Cognitive Radio Networks

TL;DR: A novel mathematical approach is presented to obtain optimal sensing duration (number of samples) in presence of noise uncertainty for energy detection method to attain desired performance in terms of P FA (Probability of False Alarm) and P D (Probable of Detection).