Kalman-and-Bayesian-Filters.../kf_book/DogSimulation.py
Roger Labbe 3d288d60d6 The base python installation has a file code.py; this causes
problems when trying to import files from the code subdirectory.

I also tried to rearange some code so that book_format does not need
to be imported if you are not running in a Jupyter Notebook.
2017-05-11 13:13:17 -07:00

74 lines
1.9 KiB
Python

# -*- coding: utf-8 -*-
"""Copyright 2015 Roger R Labbe Jr.
Code supporting the book
Kalman and Bayesian Filters in Python
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
This is licensed under an MIT license. See the LICENSE.txt file
for more information.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import copy
import math
import numpy as np
from numpy.random import randn
class DogSimulation(object):
def __init__(self, x0=0, velocity=1,
measurement_var=0.0, process_var=0.0):
""" x0 - initial position
velocity - (+=right, -=left)
measurement_variance - variance in measurement m^2
process_variance - variance in process (m/s)^2
"""
self.x = x0
self.velocity = velocity
self.measurement_noise = math.sqrt(measurement_var)
self.process_noise = math.sqrt(process_var)
def move(self, dt=1.0):
'''Compute new position of the dog assuming `dt` seconds have
passed since the last update.'''
# compute new position based on velocity. Add in some
# process noise
velocity = self.velocity + randn() * self.process_noise * dt
self.x += velocity * dt
def sense_position(self):
# simulate measuring the position with noise
return self.x + randn() * self.measurement_noise
def move_and_sense(self, dt=1.0):
self.move(dt)
x = copy.deepcopy(self.x)
return x, self.sense_position()
def run_simulation(self, dt=1, count=1):
""" simulate the dog moving over a period of time.
**Returns**
data : np.array[float, float]
2D array, first column contains actual position of dog,
second column contains the measurement of that position
"""
return np.array([self.move_and_sense(dt) for i in range(count)])