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In this paper, we present an algorithm for determining a curve on the earths terrain on which a stationary emitter must lie according to a single Doppler shift measured on an unmanned aerial vehicle (UAV) or a low earth orbit satellite (LEOS). The mobile vehicle measures the Doppler shift and uses it to build equations for a particular right circular cone according to the Doppler shift and the vehicles velocity, then determines a curve consisting of points which represents the intersections of the cone with an ellipsoid that approximately describes the earths surface. The intersection points of the cone with the ellipsoid are mapped into a digital terrain data set, namely Digital Terrain Elevation Data (DTED), to generate the intersection points on the earths terrain. The work includes consideration of the possibility that the rotation of the earth could affect the Doppler shift, and of the errors resulting from the non-constant refractive index of the atmosphere and from lack of precise knowledge of the transmitter frequency.
Micro-Doppler signatures contain considerable information about target dynamics. However, the radar sensing systems are easily affected by noisy surroundings, resulting in uninterpretable motion patterns on the micro-Doppler spectrogram. Meanwhile, r
It is challenging to detect small-floating object in the sea clutter for a surface radar. In this paper, we have observed that the backscatters from the target brake the continuity of the underlying motion of the sea surface in the time-Doppler spect
Pulse Doppler radars suffer from range-Doppler ambiguity that translates into a trade-off between maximal unambiguous range and velocity. Several techniques, like the multiple PRFs (MPRF) method, have been proposed to mitigate this problem. The drawb
Micro-Doppler analysis has become increasingly popular in recent years owning to the ability of the technique to enhance classification strategies. Applications include recognising everyday human activities, distinguishing drone from birds, and ident
Motivated by scheduling in Geo-distributed data analysis, we propose a target location problem for multi-commodity flow (LoMuF for short). Given commodities to be sent from their resources, LoMuF aims at locating their targets so that the multi-commo