Navy

Noise control algorithm for narrow band disturbances

Least mean square vibration or noise control filter eliminates the requirement for a reference sensor to generate a reference signal and is ideal for treating jitter problems in a wide variety of systems

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Noise and vibration control in machinery is one application for this technology

Adaptive noise control algorithms have been successfully applied to reduce noise in acoustic, photonic, and mechanical systems for many years. Since the noise source and the environment are time-varying in general, it is often desired that an active noise control system be adaptive.

Adaptive filters are designed by minimizing an error function and can be realized as Finite Impulse Response (FIR), Infinite Impulse Response (IIR) or lattice and transform-domain filters. The most commonly used adaptive filter is the FIR filter using a least mean square (LMS) algorithm.

A serious issue with implementations of the LMS algorithm for noise cancellation is the requirement of a coherent reference signal, which must be well correlated with the disturbance or noise. A common practice is to measure the disturbance or noise directly and use it as the reference signal to the LMS algorithm. But, a direct measurement of disturbance may not be possible and even if it is possible, it will require that additional resources be used which eventually increase the cost of the operation or process.

Addressing the above, Navy scientists have developed a new method for generating the reference signal by utilizing the characteristics of the error signal, which is the difference between the responses of the system to disturbance and the control signals. Since the error signal has the frequencies of the disturbance, processing the error signal can generate a reference signal.

While jitter remains a serious issue in laser communications, vibration control in large machinery, noise control in acoustic systems and microphones, and jitter control in satellites and space systems are some of the other important applications for this technology.

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Exclusive
License Execution Fee
$2,000
$3,000
$4,000
Royalty on Net Sales
2%
3%
4%
Minimum Annual Royalty
$1,000
$1,500
$2,500
Annual Patent Fee
$1,000
$1,500
$1,500
Sublicensing
No
Yes
Yes
Sublicensing Royalty on Net Sales
N/A
3%
4%
Sublicensing Royalty on Other Income
N/A
50%
50%

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