Aaron Canciani

Aaron Canciani

Air Force Institute of Technology

H-index: 9

North America-United States

About Aaron Canciani

Aaron Canciani, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Air Force Institute of Technology, specializes in the field of Guidance, Navigation, and Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Magnetic navigation on an F-16 aircraft using online calibration

Terrain‐referenced navigation using a steerable‐laser measurement sensor

Signal enhancement for magnetic navigation challenge problem

Implications of magnetic secular variation for interpretation of crustal field anomalies

An analysis of the benefits and difficulties of aerial magnetic vector navigation

Scorpion: A modular sensor fusion approach for complementary navigation sensors

Positioning Using Magnetic Fields

MagSLAM: Aerial simultaneous localization and mapping using Earth's magnetic anomaly field

Aaron Canciani Information

University

Air Force Institute of Technology

Position

___

Citations(all)

361

Citations(since 2020)

307

Cited By

133

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Air Force Institute of Technology

Aaron Canciani Skills & Research Interests

Guidance

Navigation

and Control

Top articles of Aaron Canciani

Magnetic navigation on an F-16 aircraft using online calibration

Authors

Aaron J Canciani

Journal

IEEE Transactions on Aerospace and Electronic Systems

Published Date

2021/8/4

Magnetic anomaly navigation is gaining popularity as an alternative-navigation system that addresses the challenges of GPS denial. Magnetic anomaly navigation has recently been flight test proven on an F-16 aircraft. The corrupting magnetic environment on this operational platform is 2–3 orders of magnitude larger than previous flight-tests on geo-survey aircraft, while also displaying stochastic drift. The difficult magnetic environment of the platform necessitated a combination of batch and online calibration to obtain accurate navigation solutions. Superiority of the new method is shown in comparison to prior published methods. Real navigation results on the F-16 are shown to obtain accuracies 50% better than these competing methods, with low-altitude results obtaining 59-m distance root-mean-squared errors on 1.5 h flights versus 111 m using batch-only calibrations.

Terrain‐referenced navigation using a steerable‐laser measurement sensor

Authors

Jason D Carroll,Aaron J Canciani

Journal

Navigation

Published Date

2021/3

The benefits of GNSS have created dependencies on navigation in modern day aviation systems. Many of these systems operate with no backup navigation source. This makes the capabilities supported by precise navigation vulnerable. This paper investigates a contemporary approach to terrain‐referenced navigation (TRN), used to preserve an aircraft's navigation solution during periods of GNSS denial. Traditionally, TRN has been accomplished using a single measurement sensor pointed nadir to an aircraft. Although shown to be effective, this approach limits the achievable navigation accuracy by restricting the measurable terrain gradients to those below an aircraft. This paper explores an alternative approach to TRN that maximizes navigation information through optimal steering of a gimbaled laser. A Cramér‐Rao lower bound analysis as well as a high‐fidelity simulation establishes the utility of optimal …

Signal enhancement for magnetic navigation challenge problem

Authors

Albert R Gnadt,Joseph Belarge,Aaron Canciani,Glenn Carl,Lauren Conger,Joseph Curro,Alan Edelman,Peter Morales,Aaron P Nielsen,Michael F O'Keeffe,Christopher V Rackauckas,Jonathan Taylor,Allan B Wollaber

Journal

arXiv preprint arXiv:2007.12158

Published Date

2020/7/23

Harnessing the magnetic field of the Earth for navigation has shown promise as a viable alternative to other navigation systems. A magnetic navigation system collects its own magnetic field data using a magnetometer and uses magnetic anomaly maps to determine the current location. The greatest challenge with magnetic navigation arises when the magnetic field measurements from the magnetometer encompass the magnetic field from not just the Earth, but also from the vehicle on which it is mounted. It is difficult to separate the Earth magnetic anomaly field, which is crucial for navigation, from the total magnetic field reading from the sensor. The purpose of this challenge problem is to decouple the Earth and aircraft magnetic signals in order to derive a clean signal from which to perform magnetic navigation. Baseline testing on the dataset has shown that the Earth magnetic field can be extracted from the total magnetic field using machine learning (ML). The challenge is to remove the aircraft magnetic field from the total magnetic field using a trained model. This challenge offers an opportunity to construct an effective model for removing the aircraft magnetic field from the dataset by using a scientific machine learning (SciML) approach comprised of an ML algorithm integrated with the physics of magnetic navigation.

Implications of magnetic secular variation for interpretation of crustal field anomalies

Authors

Rick Saltus,Aaron Canciani,Brian Meyer,Arnaud Chulliat

Journal

EGU General Assembly Conference Abstracts

Published Date

2020/5

We usually think of crustal magnetic anomalies as static (barring some major seismic or thermal disruption). But a significant portion of the crustal magnetic field is caused by the interaction of magnetic minerals with the Earth's magnetic field. This induced magnetic effect is dependent on the direction and magnitude of the ambient field. So, of course, as the Earth's magnetic field changes over time, the form and magnitude of induced magnetic anomalies will vary as well. These changes will often be negligible for interpretation when compared with measurement and other interpretational uncertainties. However, with the reduction of various sources of measurement noise and increased fidelity of interpretation, these temporal anomaly changes may need to be considered. In addition to considerations relating to interpretation uncertainty, these temporal anomaly changes, if they are measured in multiple magnetic …

An analysis of the benefits and difficulties of aerial magnetic vector navigation

Authors

Aaron Joseph Canciani,Christopher J Brennan

Journal

IEEE Transactions on Aerospace and Electronic Systems

Published Date

2020/4/22

Recent successful flight tests have demonstrated scalar magnetic anomaly navigation to be a viable GPS-alternative navigation system. These flight tests matched magnetic field measurements to maps of the Earth's crustal magnetic field in order to navigate. Scalar magnetic navigation uses only the magnetic field intensity, not direction, in order to navigate. While it appears obvious to extend aerial magnetic navigation to use the full vector field, in practice there are substantial obstacles to doing so. This article explores the key challenges of magnetic vector navigation including current sensor limitations, lack of high frequency magnetic vector maps of the Earth's crust, and proper integration of the magnetic data with an inertial navigation system. In overcoming these challenges several key benefits of magnetic vector navigation over scalar magnetic navigation become apparent, including modestly improved …

Scorpion: A modular sensor fusion approach for complementary navigation sensors

Authors

Kyle Kauffman,Daniel Marietta,John Raquet,Daniel Carson,Robert C Leishman,Aaron Canciani,Adam Schofield,Michael Caporellie

Published Date

2020/4/20

There is a great need to decrease our reliance on GPS by utilizing novel complementary navigation sensors. While a number of complementary navigation sensors have been studied, each one has trade-offs in availability, reliability, accuracy and applicability in various environments. The development of a robust estimator therefore requires the integration of many diverse sensors into a sensor fusion platform. Unfortunately, as the number of sensors added to the system grows larger, so does the difficulty of developing a sensor fusion solution that optimally integrates them all into a single navigation estimate. In addition, a sensor fusion solution with many sensors is susceptible to sensor failures, modeling errors, and other phenomena which can cause degradation of the fusion solution. In this paper, we propose an open architecture for sensor fusion that allows for the development of modular navigation filters …

Positioning Using Magnetic Fields

Authors

Aaron Canciani,John F Raquet

Journal

Position, Navigation, and Timing Technologies in the 21st Century: Integrated Satellite Navigation, Sensor Systems, and Civil Applications

Published Date

2020/12/23

This chapter describes approaches for determining absolute position using magnetic field measurements for three different environments: indoors, for ground vehicles, and for aircraft. It provides some background in terms of the nature of Earth's magnetic field. The primary magnetic sources which can be measured in the vicinity of Earth are as follows: Earth's core field, Earth's crustal field, Space weather effects, and Man‐made effects. Magnetic instruments fall into two major categories: scalar instruments and vector instruments. Magnetometer calibration techniques are quite different depending on the type of instrument used and the platform environment. The chapter focuses on determining absolute position by comparing the magnetometer output with a map of the magnetic field (as opposed to orientation‐based uses of a magnetometer, which generally do not determine absolute position).

MagSLAM: Aerial simultaneous localization and mapping using Earth's magnetic anomaly field

Authors

Taylor N Lee,Aaron J Canciani

Journal

Navigation

Published Date

2020/3

Instances of spoofing and jamming of global navigation satellite systems (GNSSs) have emphasized the need for alternative navigation methods. Aerial navigation by magnetic map matching has been demonstrated as a viable GNSS‐alternative navigation technique. Flight test demonstrations have achieved accuracies of tens of meters over hour‐long flights, but these flights required accurate magnetic maps which are not always available. Magnetic map availability and resolution vary widely around the globe. Removing the dependency on prior survey maps extends the benefits of aerial magnetic navigation methods to small unmanned aerial systems (sUAS) at lower altitudes where magnetic maps are especially undersampled or unavailable. In this paper, a simultaneous localization and mapping (SLAM) algorithm known as FastSLAM was modified to use scalar magnetic measurements to constrain a drifting …

Cooperative navigation using pairwise communication with ranging and magnetic anomaly measurements

Authors

Chizhao Yang,Jared Strader,Yu Gu,Aaron Canciani,Kevin Brink

Journal

Journal of aerospace information systems

Published Date

2020/11

The problem of cooperative localization for a small group of unmanned aerial vehicles (UAVs) in a Global Navigation Satellite System-denied environment is addressed in this paper. The presented approach contains two sequential steps: first, an algorithm called cooperative ranging localization, formulated as an extended Kalman filter, estimates each UAV’s relative pose inside the group using intervehicle ranging measurements; second, an algorithm named cooperative magnetic localization, formulated as a particle filter, estimates each UAV’s global pose through matching the group’s magnetic anomaly measurements to a given magnetic anomaly map. In this study, each UAV is assumed to only perform a ranging measurement and data exchange with one other UAV at any point in time. A simulator is developed to evaluate the algorithms with magnetic anomaly maps acquired from airborne geophysical survey …

See List of Professors in Aaron Canciani University(Air Force Institute of Technology)

Aaron Canciani FAQs

What is Aaron Canciani's h-index at Air Force Institute of Technology?

The h-index of Aaron Canciani has been 8 since 2020 and 9 in total.

What are Aaron Canciani's top articles?

The articles with the titles of

Magnetic navigation on an F-16 aircraft using online calibration

Terrain‐referenced navigation using a steerable‐laser measurement sensor

Signal enhancement for magnetic navigation challenge problem

Implications of magnetic secular variation for interpretation of crustal field anomalies

An analysis of the benefits and difficulties of aerial magnetic vector navigation

Scorpion: A modular sensor fusion approach for complementary navigation sensors

Positioning Using Magnetic Fields

MagSLAM: Aerial simultaneous localization and mapping using Earth's magnetic anomaly field

...

are the top articles of Aaron Canciani at Air Force Institute of Technology.

What are Aaron Canciani's research interests?

The research interests of Aaron Canciani are: Guidance, Navigation, and Control

What is Aaron Canciani's total number of citations?

Aaron Canciani has 361 citations in total.

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