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Abstract

A method for correcting an integral signal representing the integral of an input signal derived from an accelerometer to eliminate the effects of errors in the input signal comprises sampling one or more signals which bear a functional relationship with the errors and subjecting the samples to a correction algorithmic process. The processed results are integrated and used to correct the input signal integral. Relatively few samples may be taken at below the Nyquist rate at random or pseudorandom intervals to provide an acceptable quantitive estimate of the error in the integrated input signal. The samples are spaced throughout the integration period by defining window intervals and taking one or more samples randomly in each window interval. Apparatus to practice the method include an integrator for integrating the input signal and a sample and hold circuit for sampling the input signal. Sample signals are subjected to the correction algorithmic process under the control of a control circuit arranged to provide output control signals that define sampling intervals at a high frequency rate, sampling window intervals and the integration time. An accumulator receives and stores processed samples with the output of the accumulator applied to a correction circuit to correct errors in the input signal which after integration is also applied to the correction circuit, the output of the correction circuit representing the corrected signal.

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