def __alpha_y0__(self):
"""
Checked
"""
Kxy = s.dblquad(1, 1, 0)
sigmaxx = s.dblquad(2, 0, 0)
return 2 * Kxy / sigmaxx
def __alpha_n0__(self):
"""
Checked
"""
Kxy = s.dblquad(1, 1, 0)
sigmaxx = s.dblquad(2, 0, 0)
sigmayy = s.dblquad(0, 2, 0)
return sigmaxx * sigmayy - Kxy**2
def __alpha_t__(self):
"""
Checked
"""
sigmatt = s.dblquad(0, 0, 0, 2)
sigmaxx = s.dblquad(2, 0, 0)
Kxt = s.dblquad(1, 0, 0, 1)
return sigmatt * sigmaxx - Kxt**2
def __alpha_p__(self):
"""
Checked
"""
Kyt = s.dblquad(0, 1, 0, 1)
Kxy = s.dblquad(1, 1, 0)
Kxt = s.dblquad(1, 0, 0, 1)
sigmaxx = s.dblquad(2, 0, 0)
return 2 * Kyt + (2 * Kxy * Kxt) / sigmaxx
def __alpha_u0__(self):
"""
Checked
"""
Kxt = s.dblquad(1, 0, 0, 1)
Kxy = s.dblquad(1, 1, 0)
sigmaxx = s.dblquad(2, 0, 0)
alpha_n0 = self.__alpha_n0__()
alpha_p = self.__alpha_p__()
return (2 * Kxt / sigmaxx) + (alpha_p * Kxy / alpha_n0)
def __alpha_v0__(self):
"""
Checked
"""
sigmayy = s.dblquad(0, 2, 0)
alpha_n0 = self.__alpha_n0__()
deltax = np.deg2rad(config['Radar']['GainWidth'][0])**2
return 1 + (sigmayy * deltax) / (const * alpha_n0)
def __alpha_00__(self):
"""
Checked
"""
alpha = self.__sigma_n0__()
sigmayy = s.dblquad(0, 2, 0)
theta0 = np.deg2rad(config['Radar']['Direction'][1])
return 2 * sigmayy / (np.cos(theta0) * alpha)
def __alpha_r0__(self):
"""
Checked
"""
theta0 = np.deg2rad(config['Radar']['Direction'][1])
sigmaxx = s.dblquad(2, 0, 0)
alpha_n0 = self.__alpha_n0__()
deltay = np.deg2rad(config['Radar']['GainWidth'][1])**2
return 1 + (sigmaxx * deltay) / (const * alpha_n0 * np.cos(theta0)**2)
def __call__(self, omega):
theta0 = np.deg2rad(config['Radar']['Direction'][1])
deltax = np.deg2rad(config['Radar']['GainWidth'][0])**2
deltay = np.deg2rad(config['Radar']['GainWidth'][1])**2
c = config['Constants']['WaveSpeed']
if config['Radar']['WaveLength'] == "Ku":
k = 2 * np.pi / 0.022
elif config['Radar']['WaveLength'] == "Ka":
k = 2 * np.pi / 0.008
fresnel_coeff = 0.8
alpha_n0 = self.__alpha_n0__()
alpha_v0 = self.__alpha_v0__()
alpha_r0 = self.__alpha_r0__()
omega_s = self.__omega_s__()
omega_t = self.__omega_t__()
sigmayy = s.dblquad(0, 2, 0)
sigmaxx = s.dblquad(2, 0, 0)
Kxy = s.dblquad(1, 1, 0)
S = fresnel_coeff**2*np.sqrt(np.pi)/(2*k*np.cos(theta0)**4 * np.sqrt(alpha_n0)) \
* np.exp(- (omega + k * omega_t)**2/(4*k**2*omega_s)) * \
np.exp(- np.tan(theta0)**2/(2*alpha_n0) * sigmayy) * \
(
np.exp(np.tan(theta0)**2/(2*const*alpha_n0**2)*
(
(sigmayy**2*deltax)/(alpha_v0) +
(deltay*Kxy)/(alpha_r0 * np.cos(theta0)**2)
)
)
) / (
np.sqrt(omega_s) *
np.sqrt(
(1 + sigmayy * deltax / (const*alpha_n0)) *
(1 + sigmaxx * deltay / (const*alpha_n0*np.cos(theta0)**2))
)
)
return S
def __omega_t__(self):
theta0 = np.deg2rad(config['Radar']['Direction'][1])
sigmaxx = s.dblquad(2, 0, 0)
sigmayy = s.dblquad(0, 2, 0)
alpha_n0 = self.__alpha_n0__()
alpha_u0 = self.__alpha_u0__()
alpha_r0 = self.__alpha_r0__()
alpha_p = self.__alpha_p__()
deltax = np.deg2rad(config['Radar']['GainWidth'][0])**2
deltay = np.deg2rad(config['Radar']['GainWidth'][1])**2
Kxt = s.dblquad(1, 0, 0, 1)
Kxy = s.dblquad(1, 1, 0)
return np.sin(theta0) * (
+alpha_u0 - (alpha_n0 * deltax * sigmayy) /
(const * alpha_n0 + sigmayy * deltax) -
(alpha_p * sigmaxx * Kxy * deltay) /
(const * alpha_n0**2 * alpha_r0 * np.cos(theta0)**2))
def __omega_s__(self):
deltax = np.deg2rad(config['Radar']['GainWidth'][0])**2
deltay = np.deg2rad(config['Radar']['GainWidth'][1])**2
sigmaxx = s.dblquad(2, 0, 0)
alpha_n0 = self.__alpha_n0__()
alpha_u0 = self.__alpha_u0__()
alpha_r0 = self.__alpha_r0__()
alpha_v0 = self.__alpha_v0__()
alpha_p = self.__alpha_p__()
alpha_t = self.__alpha_t__()
theta0 = np.deg2rad(config['Radar']['Direction'][1])
return (+deltay * alpha_p**2 * sigmaxx**4 /
(2 * const * alpha_r0 * alpha_n0**2) + np.cos(theta0)**2 *
(+2 * alpha_t / sigmaxx - alpha_p**2 * sigmaxx /
(2 * alpha_n0) + alpha_u0**2 * deltax /
(2 * const * alpha_v0)))
