Hi Experts,
We have been working with a few of the mmWave sensors (including the IWR6843ISK, IWR6843ISK-ODS and IWR6843AOP-EVM). So far our current approach is to flash the device with the Area Scanner Demo and then use a python script to extract the point cloud to display. Based on this work flow and plans to adopt a more robust work flow we have a few questions (All questions will be based on the IWR6843ISK but may also apply to other sensors in our fleet).
- We attempted to adjust a few configuration parameters to achieve static object detection. However, when dynamic objects enter the field of view, there is too much noise (many cloud points uncorrelated with any objects of interest) in the image. How do we suppress such noise? What are the best ways to reduce noise or points coming from reflections associated with static objects?
- What signal processing algorithms are used (if any) to determine the location of objects? Is it the same for static and dynamic objects?
- If multiple people are moving close together, how can one accurately determine if more than one person is in the group that is moving?
- Are there any reading materials for beginners that can help users pick up the concept of signal processing in FMCW mmWave sensing quickly (i.e. Quick start guide for code composer)? For example a very scaled down guide that demonstrates the signal flow to send out a single chirp, receive the reflected signal, obtain a point cloud and process it. The demo will also emphasize the function of the MSS, DSS and memory types with the most minimalistic code. Or a document that follows the flow in this document but shows the module(s) of the SDK that help one achieve each step.