基于非线性微分方程的热电阻温度信号异常波动特征建模

Design of power-on reset state machine for lidar integrated circuit memory cell

为提高热电阻温度信号异常波动特征提取的准确度,基于非线性微分方程构建热电阻温度信号异常波动特征提取模型。构建热电阻温度信号采集模型,建立热电阻温度信号检测的非线性微分方程组,结合方程组的最优特征解分布集,实施热电阻温度信号的干扰抑制和特征重组。构建非线性微分方程的稳态特征寻优模型,通过分析模型的渐进稳态性,进一步分析信号异常波动的时频特征和时域变换。提取热电阻温度信号的检测统计特征量和关联谱特征量,通过信号波动特征调节和反馈均衡方法,进行热电阻温度信号的异常波动特征提取和优化检测。仿真结果表明,采用该方法提取热电阻温度信号异常波动特征的准确性较高,抗干扰能力较强,提高了热电阻温度信号传输的可靠性和稳定性。

In order to improve the stability of power-on reset of laser radar integrated circuit memory cell,a design method of power-on reset state machine for laser radar integrated circuit memory cell based on integrated DSP is proposed.The general structure model of the reset state machine of the laser radar integrated circuit memory cell is constructed.The designed power-on reset machine mainly includes AD module,power-off reset module,program loading module,information conversion module,DSP integrated information module,etc.The kernel power circuit is used for single-pole high-pass filtering control,and the power-on reset control method is used for program loading and baseline recovery control of the laser radar integrated circuit memory cell.Through baseline restorer,the power-off reset and connectivity test of lidar integrated circuit memory cell are realized,the logic timing control and power-on state machine design of lidar integrated circuit are realized,and the hardware optimization design of lidar integrated circuit memory cell is realized.The simulation results show that the designed power-on reset state machine of the integrated circuit memory unit of lidar has good stability and strong integrated control performance,which improves the integrated signal acquisition capability of lidar.