Multi-frequency calibration for DOA estimation with distributed sensors
This addresses sensor array processing challenges for applications like radar or communications, but it appears incremental as it builds on existing distributed methods.
The paper tackled direction-of-arrival estimation with sensor uncertainties in multi-frequency scenarios using a distributed optimization scheme, achieving improved statistical and computational efficiency as shown in numerical simulations.
In this work, we investigate direction finding in the presence of sensor gain uncertainties and directional perturbations for sensor array processing in a multi-frequency scenario. Specifically, we adopt a distributed optimization scheme in which coherence models are incorporated and local agents exchange information only between connected nodes in the network, i.e., without a fusion center. Numerical simulations highlight the advantages of the proposed parallel iterative technique in terms of statistical and computational efficiency.