Blind Calibration is an exciting formulation for in-situ calibration in sensor networks. Laura Balzano (while at UCLA) and Robert Nowak (UW-Madison) have written a paper for IPSN 2007 and are studying their formulation and algorithms further. Here are some related documents.

Slides from the EE ARR Talk: available here.

Calibration data from the NESL CVS: available here.

Cold Air Drainage data used for the IPSN paper:

  1. Data I used to do the ground truth calibration
  2. Data I used to do the blind calibration
  3. A snippet of matlab code is available here to help you understand the file formats.
If you would like matlab code for a basic example of blind calibration by subspace matching, you can download it here.