我正在尝试添加另一个接收器，或者换句话说，增加第4点。 我怎么能修改此功能，以发现红色X相对于四个蓝色点(具有已知的X，Y位置)的图(有X，Y形式和未知坐标)而不仅仅是3个任何想法(见阴谋链接下面) ？

注意：我没有进行多边处理。 我正在根据信号功率找到位置。 函数中返回的方程式为gammajk = Pj/Pk = Rk^2/Rj^2 Power ~ 1/R^2 (R为距离)，功率比为gammajk = Pj/Pk = Rk^2/Rj^2 。

% pylab inline

import pylab

from scipy.optimize import fsolve

def equations(p):

# Define these outside of the function before calling this function.

global gamma01,x0,y0,gamma12,x1,y1,x2,y2,gamma10

# x,y represent the red-X & x1,y1,x2,y2,... represent Blue dots (Recievers)

x,y = p

# The returned equations are from Power ~ 1/r**2, so

# the power ratio gammajk = Pj/Pk = rk**2/rj**2.

return ( gamma01*(x1-x)**2+gamma01*(y1-y)**2-(x0-x)**2-(y0-y)**2,

gamma12*(x2-x)**2+gamma12*(y2-y)**2-(x1-x)**2-(y1-y)**2 )

gamma01 = 1.0 # Received power antenna 1 over received power antenna 0

gamma12 = 1.0 # Received power antenna 2 over received power antenna 1

x0,y0 = 0.0, 1000.0 # Position receive antenna 0

x1,y1 = 1000.0, 0.0 # Position receive antenna 1

x2,y2 = 0.0, -1000.0 # Position receive antenna 2

# Numerically solve our nonlinear system of equations

# (1.0,1.0) is the initial guessed position

x, y = fsolve(equations, (1.0, 1.0))

print('answer x y (m)',x,y)

pylab.figure()

pylab.plot([x0,x1,x2],[y0,y1,y2],'bo',markersize=8.0,label='Receive Antenna')

pylab.plot([x],[y],'rx',markersize=8.0,label='Transmitter')

pylab.axis('equal')

pylab.xlabel('x (m)')

pylab.ylabel('y (m)')

pylab.title('All Power Ratios = 1.0')

pylab.legend()

pylab.grid()

pylab.show()

情节：在蓝点之间寻找红色-x