Improving the response of a rollover sensor placed in a car under performance tests by using optimal signal processing techniques

Abstract:

In this paper, a sensor to measure the rollover angle of a car under performance tests is presented. Basically, the sensor consists of a dual-axis accelerometer, analog-electronic instrumentation stages, a data acquisition system and a square-root adaptive filtering algorithm for recursive least-squares estimation (QR-RLS). In short, the adaptive filter is used to improve the performance of the rollover sensor by carrying out an optimal pbkp_rediction of the relevant signal coming from the sensor, which is buried in a broad-band noise background where we have little knowledge of the noise characteristics. The experimental results are satisfactory and show a significant improvement in the signalto-noise ratio at the system output © 2006 IEEE.

Año de publicación:

2006

Keywords:

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