Resources Contact Us Home
Least mean square (LMS) normalizer for active sonar

Image Number 7 for United States Patent #5349567.

A normalizer based on a Least Mean Square (LMS) adaptive algorithm configured to provide effective normalization when the background noise is locally non-stationary and when the target may be subject to time spread of unknown extent. The LMS algorithm used in the normalizer includes an adaptive filter in both the primary and reference inputs as a means of adapting to variations in both the signal and noise statistics. The LMS algorithm is implemented on the logarithm of the data, so that the difference minimized in the LMS structure drives the ratio of the signal power to noise power to a constant value. The algorithm can be used as a range normalizer by running it over range in each doppler bin, or as a frequency normalizer by operating across doppler in each range bin. By continually adapting to the statistics present in the data, the normalizer more effectively deals with the variations in the noise and signal statistics.

  Recently Added Patents
Vacuum cleaner filter adapter ring
Bulk vending apparatus, system and method
Methods and systems for presenting an inhalation experience
Methods of saccharification of polysaccharides in plants
Reducing voltage stress in a flyback converter design
Stacked structure and stacked method for three-dimensional chip
Cardiac function management integrating cardiac contractility modulation
  Randomly Featured Patents
Vehicle mounting structure for fuel cell system
Method and control system for applying solder flux to a printed circuit
Connecting business-to-business buyers and sellers
Remote valving for microfluidic flow control
Use of surfactants in extraction procedures for silicone hydrogel ophthalmic lenses
Foamed zipper
Belt press load bearing measuring means
Angular speed measuring device
Article treatment apparatus