axs[0,1].plot(position_y_measure, "-", label="位置y_测量值", linewidth=1) axs[0,1].plot(position_y_posterior_est, "-", label="位置y_扩展卡尔曼滤波后的值(融合测量值和估计值)", linewidth=1) axs[0,1].set_title("位置y") axs[0,1].set_xlabel('k') axs[0,1].legend() # ...