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Robust beamforming with GPS applications.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Robust beamforming with GPS applications.
作者:
Lorenz, Robert Gustav.
面頁冊數:
135 p.
附註:
Adviser: Stephen P. Boyd.
附註:
Source: Dissertation Abstracts International, Volume: 64-09, Section: B, page: 4530.
Contained By:
Dissertation Abstracts International64-09B.
標題:
Engineering, Electronics and Electrical.
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3104274
ISBN:
0496518429
Robust beamforming with GPS applications.
Lorenz, Robert Gustav.
Robust beamforming with GPS applications.
[electronic resource] - 135 p.
Adviser: Stephen P. Boyd.
Thesis (Ph.D.)--Stanford University, 2003.
Application of the aforementioned methods in an array antenna system for GPS yielded substantial rejection of multipath. The usual trade-off between antenna size and multipath performance does not apply.
ISBN: 0496518429Subjects--Topical Terms:
226981
Engineering, Electronics and Electrical.
Robust beamforming with GPS applications.
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Thesis (Ph.D.)--Stanford University, 2003.
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Application of the aforementioned methods in an array antenna system for GPS yielded substantial rejection of multipath. The usual trade-off between antenna size and multipath performance does not apply.
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In this dissertation, we describe a GPS antenna array and signal-processing algorithms for mitigating interference and multipath based on angle-of-arrival differences.
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These methods are directly applicable to antenna arrays with closely spaced elements in which the coupling between elements is significant. They extend naturally to the case where the aggregate uncertainty arises from more than one component in the signal path, e.g., the array manifold, the radio frequency (RF) electronics, etc. Measurements taken from a vertically stacked turnstile array are presented.
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We introduce an extension of minimum-variance beamforming that specifically takes into account uncertainty in the assumed array response. Sources of this uncertainty include imprecise knowledge of the angle of arrival and uncertainty in the array manifold. In our method, uncertainty in the array manifold is modeled explicitly via an uncertainty ellipsoid that gives the possible values of the array for a particular look direction. We choose weights that minimize the total weighted power output of the array, subject to the constraint that the gain exceeds unity for all array responses in this uncertainty ellipsoid. Hence, we can guarantee performance of the robust method in the presence of uncertainties. The robust weights can be computed very efficiently using Lagrange multiplier techniques.
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