Moving vehicle classifier with iterative deconvolver estimator

Details Moving vehicle classifier with iterative deconvolver estimator Moving vehicle classifier with iterative deconvolver estimator

1993-06-11

1994-11-22

Mai, Tan V.

Boots, shoes, and leggings

G06F 1531

Patent

active

053674758

ABSTRACT:
A MOVING VEHICLE CLASSIFIER WITH ITERATIVE DECONVOLVER ESTIMATOR deconvolves a signal in which a plurality of sensed signals, which originate from a common signal source (namely, a moving vehicle) and traverse differing signal paths, are used to formulate an initial unconstrained estimation of the signal source as a reference signal. Preselected constraints are placed on the reference signal to generate an estimate of the source signal, and of a source signal matrix, for the plurality of input sensors. A pseudoinverse of the source matrix is then used to form an estimate of the impulse response of the propagation paths for the signals. The estimates of signal path impulse response are used in combination with the input signals to again estimate the unconstrained reference signal. This is in turn used to estimate a new source signal matrix and path responses. These estimation steps are repeated in a series of iterative steps until a point of minimum variance from the received signals is reached. At this point, the source signal estimation is chosen as a deconvolved signal output. The moving vehicle which produced the source signal may then be classified by conventional means.

REFERENCES:
patent: 4797923 (1989-01-01), Clarke
patent: 4837723 (1989-06-01), Peacock
patent: 4934768 (1983-07-01), Sari

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