1991
DOI: 10.1049/ip-f-2.1991.0023
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Multipath effects on low-angle tracking at millimetre-wave frequencies

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Cited by 11 publications
(4 citation statements)
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“…Time Reversal techniques are also used to mitigate multipath influence on ISAR imaging in [18]. Multipath also affects tracking performance [19][20][21] and time delay estimation [15]. In that particular case, time delay estimation is a challenging task since the coupling echoes are coherent replicas of the direct returns [22].…”
Section: Introductionmentioning
confidence: 99%
“…Time Reversal techniques are also used to mitigate multipath influence on ISAR imaging in [18]. Multipath also affects tracking performance [19][20][21] and time delay estimation [15]. In that particular case, time delay estimation is a challenging task since the coupling echoes are coherent replicas of the direct returns [22].…”
Section: Introductionmentioning
confidence: 99%
“…If the grazing angle is small and the reflecting surface is smooth, the specular component dominates, which makes the low-angle tracking a complicated problem because of the following reasons: (i) two echoes (the direct and the specular echoes) are basically the same signal except that only the phase and the amplitude of the specular echo are different in fixed amounts from those of the direct echo; that is, they are coherent; (ii) the two echoes lie within the beamwidth, and hence, the angular separation between the two is small [3]; (iii) the two echoes are superpositioned in time, because the two echoes travel almost the same path length, and therefore the range difference between the two echoes are less than the range resolution of the radar [4]. In addition to the specular component, although it may be small, the diffuse component also complicates the low-angle tracking by adding incoherent interference to the received data [5].…”
Section: Introductionmentioning
confidence: 99%
“…Multipath propagation is one of the important reasons of received signal fading. In available literatures, the fading effects caused by multipath propagation do not take weather influences (such as rain, snow and dust storm) into account [e.g., Tong and Akaiwa , 1997; Barger , 1996; Bruder and Saffold , 1990]. The impacts of weather environments on wireless communication system in the literatures focused on attenuation, depolarization, and the contribution of rain‐induced attenuation to noise temperature [e.g., Alouini et al , 1997; Kassianides and Otung , 2003; Fashuyi and Afullo , 2007].…”
Section: Introductionmentioning
confidence: 99%