Real-time estimation of dc bias and noise power of light detection and ranging (LiDAR)

A method for analyzing noise data for light detection and ranging (LiDAR), comprising:

• determining, by a LiDAR controller, a first weighting for a first noise value of a first time window associated with first noise data received by a LiDAR receiver in a first time window;
• determining, by the LiDAR controller, a second weighting for a second noise value of a second time window associated with second noise data received by the LiDAR receiver in a second time window, wherein the second time window is subsequent to the first time window;
• and
• determining, by the LiDAR controller, an estimated noise value of the second time window by calculating a sum of the first noise value of the first time window weighted by the first weighting of the first noise value and the second noise value of the second time window weighted by the second weighting of the second noise value.

A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by a light detection and ranging (LiDAR) controller, cause the LiDAR controller to perform operations comprising:

• determining a first weighting for a first noise value of a first time window associated with first noise data received by a LiDAR receiver in a first time window;
• determining a second weighting for a second noise value of a second time window associated with second noise data received by the LiDAR receiver in a second time window, wherein the second time window is subsequent to the first time window;
• and
• determining, by the LiDAR controller, an estimated noise value of the second time window by calculating a sum of the first noise value of the first time window weighted by the first weighting of the first noise value and the second noise value of the second time window weighted by the second weighting of the second noise value.