location_calculator.py 文件源码

def simulate(self):
    tdoa = []   

    x, y = np.mgrid[-self.range:self.range:self.step, -self.range:self.range:self.step]
    self.points = zip(x.ravel(), y.ravel())
    #ds = SupervisedDataSet(6,2)

    for point in self.points:
        #if (point[0] >
        tdoa.append(self.tdoa(point))
        #ds.addSample(self.tdoa(point), point)

    self.tree = spatial.KDTree(tdoa)