Matched filter for vehicle crash discrimination
First Claim
1. A matched filter for processing data representative of vehicle acceleration to produce a discrimination output value suitable for threshold comparison to determine whether to deploy an occupant safety restraint device, said filter comprising:
- an input means for organizing the acceleration data into n time sequential data samples ranging from a current sample to an nth oldest sample;
a memory means for storing at least one set of n predetermined scaling factors;
means for combining each of the n data samples with a predefined one of the n scaling factors, wherein the respective values of said n scaling factors are predetermined to effect a predetermined vehicle crash discrimination strategy; and
means for combining the n scaled data samples to produce the discrimination output value.
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Accused Products
Abstract
A matched filter (14) for vehicle crash discrimination system (10) utilizes at least one set of n scaling factors stored in a memory (24) to combine (22) with a set of n time sequenced acceleration data samples. The values of the n scaling factors are selected to effect a desired vehicle crash discrimination strategy. The matched filter optimizes system design flexibility and reconfigurability by allowing different strategies to be implemented simply by selecting the appropriate scaling factors stored in the memory.
38 Citations
3 Claims
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1. A matched filter for processing data representative of vehicle acceleration to produce a discrimination output value suitable for threshold comparison to determine whether to deploy an occupant safety restraint device, said filter comprising:
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an input means for organizing the acceleration data into n time sequential data samples ranging from a current sample to an nth oldest sample; a memory means for storing at least one set of n predetermined scaling factors; means for combining each of the n data samples with a predefined one of the n scaling factors, wherein the respective values of said n scaling factors are predetermined to effect a predetermined vehicle crash discrimination strategy; and means for combining the n scaled data samples to produce the discrimination output value. - View Dependent Claims (2, 3)
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Specification