|Go to Dolphin Inspired Sonar.||Modified on|
October 2017. Have submitted three new provisional (and nearly finished) patent applications. One is for a 3D streaming fish-finder which simplifies the more basic work of 2016 into an idea of what appears to be a competitive product.
22 March 2016. I have been mostly off-line for more than a year.
At the moment, I am adapting a simulations program, Sonic Eye, to:
analyze files created from echoes of real clicks of dolphins and
The new program concentrates on Feature-Based Passive (FBP) Sonar, with no active sonar remaining in the code. It simulates a fish that, in animation, can "swim" across the screen, and it simulates echoes-of-a-click arriving at echo-sensors the fish. It computes a picture from the echoes of each click - one picture per click.
While adapting existing code to FBP sonar, I changed the grid of the array of sensors from hexagonal to square, to make easier the work of anyone who might build a real array. Perhaps, simply, an existing array of hydrophones can be adapted to feed data into this new program. Though, the quality of the images might be better if the spacing of the sensors is closer to that in the jaw of a dolphin.
Also, I am programming-in a means to test some new methods of computation. Hopefully, this will either produce better pictures or produce pictures faster. The "book-keeping" involved is driving me crazy.
12 July 2013
01 June 2013
The colored dots (red, blue, beige) are what would appear on a sonar "telescope." The thick black lines represent the model of a "fish" from which echos were simulated.
The image is far from that of video, but is pretty good for sonar?
My prior experience has prepared me to be stunned that such good information was generated by JUST NINE sensors. And each row (column) is just 0.5 inch from each of its neighbors. Think about that. But, it actually is magnificent.
If the new methods hold up in further testing, we will have confirmed that Feature-Based Passive methods can make images of fish (albethey crude so far) from an array that would fit into the chin of a dolphin.
All of the colored dots are "hit-points" generated by the Ridge Method from simulated echoes from the simulated fish, from just one dolphin-link click. (Dolphins often click several times per second). The black stripes represent the fish which is modeled by a few thin "ribs" -- to reduce time-of-computing, so that I do not have to wait long between experiments. A side view of the actual, simulated fish is down below.
Note of 23 Aug 2013: The Method of Ridges led to the Method of Cells which was enhanced by the Method of Bridges and all were thrown out for the Method of Sheets [2015: all wrapped up into Synchronics]. The images are better now and I am working to improve them. Speed of computation has increased.