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January 4, 2016 17:19
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function Kallman(config) { | |
if (!(this instanceof Kallman)) { | |
return new Kallman(config); | |
} | |
for(var k in config) { | |
if (config.hasOwnProperty(k)) { | |
this[k] = config[k]; | |
} | |
} | |
this.steps = 1; | |
this.err = this.sigmaModel; | |
return this; | |
} | |
Kallman.prototype = { | |
x: 0, | |
sigmaModel: 1, | |
sigmaSensor: 1, | |
ajdustSigma: false, | |
window: 200, | |
steps: null, | |
err: null, | |
model: function() { | |
return 0; | |
}, | |
push: function(z) { | |
var pow = Math.pow, | |
min = Math.min; | |
this.err = 1 - pow(this.sigmaModel, 2) / (pow(this.err, 2) + this.sigmaModel + this.sigmaSensor); | |
var K = pow(this.err, 2) / this.sigmaModel; | |
this.x = z * K + (this.x + this.model()) * (1 - K); | |
if (this.adjustSigma) { | |
var steps = min(this.window, this.steps); | |
this.sigmaSensor = (this.sigmaSensor * steps + pow(this.x - z, 2)) / (steps + 1); | |
} | |
this.steps++; | |
return this.x; | |
} | |
}; | |
var k = Kallman({x: 0, adjustSigma: true}), | |
a = []; | |
for(var i = 0; i < 100; i++) { | |
var z = i + (Math.random() * 10 - 5); | |
a.push([i, k.push(z)]); | |
} | |
console.log(a) |
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