Adaptive notch filter for removal of coherent noise from infrared scanner data

Sandeep Jaggi

doi:10.1117/12.49327

1 November 1991 Adaptive notch filter for removal of coherent noise from infrared scanner data

Sandeep Jaggi

Proceedings Volume 1541, Infrared Sensors: Detectors, Electronics, and Signal Processing; (1991) https://doi.org/10.1117/12.49327
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

This paper addresses the use of an adaptive noise canceling technique to eliminate the coherent noise generated in scanner data. The technique is based on a Finite Impulse Response (FIR) adaptive noise canceler. A two-weight FIR filter is used to adaptively learn the characteristics of a sinusoid. This sinusoid is then removed from the data. The least Mean Squares (LMS) algorithm is used to converge to the coefficients of the adaptive filter during the learning process. An image corrupted with a single frequency periodic noise is used for investigating the algorithm. It is observed that the efficiency of the algorithm is dependent on the convergence gains and the initial positioning of the weights of the FIR filter. Because of the computational simplicity of the algorithm, it is possible to implement this in real-time mode.

Citation Download Citation

Sandeep Jaggi "Adaptive notch filter for removal of coherent noise from infrared scanner data", Proc. SPIE 1541, Infrared Sensors: Detectors, Electronics, and Signal Processing, (1 November 1991); https://doi.org/10.1117/12.49327

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KEYWORDS

Scanners

Filtering (signal processing)

Finite impulse response filters

Infrared radiation

Linear filtering

Interference (communication)

Optical filters

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