# Information-Based Sensor Placement for Data-Driven Estimation of Unsteady Flows

arXiv: https://arxiv.org/abs/2303.12260 · HTML: https://mlsanity.com/paper/2303.12260/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 32 references that are in the map.
- First posted on arXiv 22 Mar 2023.

## Builds on (most cited first, 5 of 5)

- [Data-Driven Sparse Sensor Placement for Reconstruction](https://mlsanity.com/paper/1701.07569/) (2017)
- [Sensor Placement for Optimal Kalman Filtering: Fundamental Limits, Submodularity, and Algorithms](https://mlsanity.com/paper/1509.08146/) (2015)
- [Randomized Greedy Sensor Selection: Leveraging Weak Submodularity](https://mlsanity.com/paper/1807.08627/) (2018)
- [Greedy Sensor Placement with Cost Constraints](https://mlsanity.com/paper/1805.03717/) (2018)
- [Determinant-based Fast Greedy Sensor Selection Algorithm](https://mlsanity.com/paper/1911.08757/) (2019)

## Abstract (arXiv)

Estimation of unsteady flow fields around flight vehicles may improve flow interactions and lead to enhanced vehicle performance. Although flow-field representations can be very high-dimensional, their dynamics can have low-order representations and may be estimated using a few, appropriately placed measurements. This paper presents a sensor-selection framework for the intended application of data-driven, flow-field estimation. This framework combines data-driven modeling, steady-state Kalman Filter design, and a sparsification technique for sequential selection of sensors. This paper also uses the sensor selection framework to design sensor arrays that can perform well across a variety of operating conditions. Flow estimation results on numerical data show that the proposed framework produces arrays that are highly effective at flow-field estimation for the flow behind and an airfoil at a high angle of attack using embedded pressure sensors. Analysis of the flow fields reveals that paths of impinging stagnation points along the airfoil's surface during a shedding period of the flow are highly informative locations for placement of pressure sensors.