johngrantuk

import math
from math import cos, sin, sqrt, atan2, acos

def PatchFunction(thetaInDeg, phiInDeg, Freq, W, L, h, Er):
    """
    Taken from Design_patchr
    Calculates total E-field pattern for patch as a function of theta and phi
    Patch is assumed to be resonating in the (TMx 010) mode.
    E-field is parallel to x-axis

johngrantuk

""" Functions dealing with rectangular patch antenna."""
import math
import matplotlib.pyplot as plt
import numpy as np
from sph2cart1 import sph2cart1
from cart2sph1 import cart2sph1
from math import cos, sin, sqrt
from mpl_toolkits.mplot3d import Axes3D

johngrantuk

"""
Function to calculate peak directivity.
Also includes some examples that are used to check result.
"""
from math import sin, sqrt, pi, log10, radians
import numpy as np
import patch


def SqrtSinPattern(Theta, Phi, *args):

johngrantuk

"""
Returns the efficiency of a rectangular microstrip patch as a percentage. Based on ArrayCalc calc_patchr_eff.m.
References:
Microstrip Antennas, I.J Bahl and P.Bhartia, Published Atrech House, Page 60
Advances in Microstrip and Printed Antennas", Lee and Chen (Ch5)

Some useful numbers :

                CONDUCTORS                                      DIELECTRICS

johngrantuk

def ArrayFactor(ElementArray, Freq):
    """
    Summation of field contributions from each element in array, at frequency freq at theta 0°-95°, phi 0°-360°.
    Element = xPos, yPos, zPos, ElementAmplitude, ElementPhaseWeight
    Returns arrayFactor[theta, phi, elementSum]
    """

    arrayFactor = np.ones((360, 95))

    Lambda = 3e8 / Freq

johngrantuk

def FieldSumPatch(ElementArray, Freq, W, L, h, Er):
    """
    Summation of field contributions from each patch element in array, at frequency freq for theta 0°-95°, phi 0°-360°.
    Element = xPos, yPos, zPos, ElementAmplitude, ElementPhaseWeight
    Returns arrayFactor[theta, phi, elementSum]
    """
    
    arrayFactor = np.ones((360, 95))

    Lambda = 3e8 / Freq

johngrantuk

def FieldSumHorn(ElementArray, Freq):
    """
    Summation of field contributions from each horn element in array, at frequency freq for theta 0°-95°, phi 0°-360°.
    Horn pattern estimate using cos q(theta) function.
    Element = xPos, yPos, zPos, ElementAmplitude, ElementPhaseWeight
    Returns arrayFactor[theta, phi, elementSum]
    """

    arrayFactor = np.ones((360, 95))

johngrantuk

"""
13/07/18
Reads csv file and plots lat/lng positions.
Markers are coloured to match satellite number when signal > -100 or are coloured red when signal = -100
"""
import cartopy.crs as ccrs
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
import traceback

johngrantuk

import redis
import time
import traceback


def RedisCheck():
    try:
        r = redis.StrictRedis(host='localhost', port=6379)                          # Connect to local Redis instance

        p = r.pubsub()                                                              # See https://github.com/andymccurdy/redis-py/#publish--subscribe

johngrantuk

def WorkCheck():
    try:

        # HERE SOME INITIAL WORK IS DONE THAT SCRIPTS 1 & 2 NEED TO WAIT FOR
        # IDs SERIAL PORTS
        # SAVE TO db

        r = redis.StrictRedis(host='localhost', port=6379)                # Connect to local Redis instance

        p = r.pubsub()                                                    # See https://github.com/andymccurdy/redis-py/#publish--subscribe