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Adaptive multipath equalization
| Details |
Inventors: Enge, Per; Farmer, Dominic; Schipper, John F.;
Assignee: Trimble Navigation Limited (Sunnyvale, CA)
Primary Examiner: Eisenzopf; Reinhard J.
Assistant Examiner: Sobutka; Philip J.
Attorney, Agent or Firm: Schipper; John
Method and apparatus for using a plurality of correlators to improve an estimate of direct signal arrival time by identifying features of a correlation function at and adjacent to the correlation peak. In a first embodiment, the errors in location of the center point of a correlation function R(.tau.), formed by the incoming composite signal and a stored copy of the expected signal, are assumed to be strongly correlated for narrow sample spacing and wide sample spacing of the correlation function. In a second embodiment, multipath signal strengths and phases are estimated, using multiple sampling of the correlation function R(.tau.). This approach assumes that path delays of the direct signal and of the multipath signals can be determined separately. Path delays can be determined by any of at least three approaches: (1) identification of slope transition points in the correlation function; (2) Cepstrum processing of the received signal, using Fourier transform analysis; and (3) use of a grid of time points on the correlation function domain, and identification of time values, associated with certain solution parameters of the least mean squares analysis that have the largest absolute values, as times of arrival of the direct and multipath signals. Separate identification of multipath time delays reduces the least mean squares analysis to a linear problem. A modified signal is constructed, with the multipath signal(s) approximately removed from the incoming composite signal. This modified signal allows a better estimate of the arrival time of the direct signal. |
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DETAILED DESCRIPTION The invention meets these needs by providing method and apparatus for using a plurality (preferably four or more) of correlators to identify detailed features of a correlation function at and adjacent to the correlation peak. In a first embodiment, the errors in location of the center point of a correlation function, formed by the received signal and a stored copy of the expected direct signal, are assumed to be strongly correlated for narrow sample spacing and wide sample spacing of the correlation function. In a second embodiment, the multipath signal strengths and phases are estimated by a least mean squares analysis, using multiple sampling of a correlation function of an expected signal and an arriving composite signal that includes the direct signal and one or more multipath signals. This approach assumed that the times of arrival or path delays of the direct signal and the multipath signals are determined separately. In one method of estimating these path delays, the invention forms an error function, which is a difference between correlation functions R(. tau. ) of "early-arriving" p(t+. tau. . sub. d) and "late-arriving" signals p(t-. tau. . sub. d) with a reference signal p(t), which may be a pseudo-random noise code signal, to determine whether multipath signals are present and to adaptively determine appropriate weighting to remove or suppress such signals. These two signals are combined to form a single, non-coherent correlation function (complex phase not present) R(. tau. . sub. d) that achieves a local maximum for a particular time translation. The number of slope transition points that appear in the correlation function R(. tau. . sub. d) for . tau. . sub. d . noteq. 0 indicates the number of strong multipath signals present and their times of arrival relative to the direct or line-of-sight signal. The apparatus determines times . tau. . sub. d where this slope changes quickly or abruptly. A slope transition point occurs wherever this slope changes by more than a selected amount
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