Alexander Charlish
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View article: 2024 Aerospace & Electronic Systems Society: Organization and Representatives
2024 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2024 Aerospace & Electronic Systems Society: Organization and Representatives
2024 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2024 Aerospace & Electronic Systems Society: Organization and Representatives
2024 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2024 Aerospace & Electronic Systems Society: Organization and Representatives
2024 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2023 Aerospace & Electronic Systems Society: Organization and Representatives
2023 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2023 Aerospace & Electronic Systems Society: Organization and Representatives
2023 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2023 Aerospace & Electronic Systems Society: Organization and Representatives
2023 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: Learning IMM Filter Parameters from Measurements using Gradient Descent
Learning IMM Filter Parameters from Measurements using Gradient Descent Open
The performance of data fusion and tracking algorithms often depends on parameters that not only describe the sensor system, but can also be task-specific. While for the sensor system tuning these variables is time-consuming and mostly req…
View article: 2023 Aerospace & Electronic Systems Society: Organization and Representatives
2023 Aerospace & Electronic Systems Society: Organization and Representatives Open
View article: 2022 Aerospace & Electronic Systems Society Organization and Representatives
2022 Aerospace & Electronic Systems Society Organization and Representatives Open
View article: From the EiC: The IEEE Radar Journal is Born
From the EiC: The IEEE Radar Journal is Born Open
Formally launched in October 2022, IEEE Transactions on Radar Systems (TRS) has now “gestated” for nine months, making it a good time to report to the radar community on how this new journal is progressing. Let’s begin with some pertinent …
View article: 2022 Aerospace & Electronics Systems Society Distinguished Lecturers
2022 Aerospace & Electronics Systems Society Distinguished Lecturers Open
All AESS Chapters and IEEE Sections are encouraged to take advantage of the AESS Distinguished Lecturer for their regular or special meetings, allowing them to select from an
View article: 2022 Aerospace & Electronics Systems Society Distinguished Lecturers
2022 Aerospace & Electronics Systems Society Distinguished Lecturers Open
All AESS Chapters and IEEE Sections are encouraged to take advantage of the AESS
View article: [Front matter]
[Front matter] Open
MIT Lincoln Laboratory is a Department of Defense federally funded R&D center that develops advanced technologies to meet critical national security needs.Our concept-to-prototype development approach guides our R&D of diverse systems, inc…
View article: 2022 Aerospace & Electronics Systems Society Distinguished Lecturers
2022 Aerospace & Electronics Systems Society Distinguished Lecturers Open
All AESS Chapters and IEEE Sections are encouraged to take advantage of the AESS
View article: 2022 Aerospace & Electronics Systems Society Distinguished Lecturers
2022 Aerospace & Electronics Systems Society Distinguished Lecturers Open
All AESS Chapters and IEEE Sections are encouraged to take advantage of the AESS
View article: 2022 Aerospace & Electronics Systems Society Distinguished Lecturers
2022 Aerospace & Electronics Systems Society Distinguished Lecturers Open
All AESS Chapters and IEEE Sections are encouraged to take advantage of the AESS Distinguished Lecturer for their regular or special meetings, allowing them to select from an outstanding list of
View article: Co-Training an Observer and an Evading Target
Co-Training an Observer and an Evading Target Open
Reinforcement learning (RL) is already widely applied to applications such as\nrobotics, but it is only sparsely used in sensor management. In this paper, we\napply the popular Proximal Policy Optimization (PPO) approach to a multi-agent\n…
View article: Recognition of Unknown Radar Emitters With Machine Learning
Recognition of Unknown Radar Emitters With Machine Learning Open
Classifiers based on machine learning are usually trained to distinguish between several known classes. For an electronic intelligence application, however, it is of great importance to recognize if an intercepted signal belongs to an unkn…
View article: Policy Rollout Action Selection in Continuous Domains for Sensor Path Planning
Policy Rollout Action Selection in Continuous Domains for Sensor Path Planning Open
Policy rollout is a method for the online computation of future costs in approximate dynamic programming and has been utilized for various problems, including sensor management. In previous work, it has predominately been applied to the se…
View article: Sensor Path Planning Using Reinforcement Learning
Sensor Path Planning Using Reinforcement Learning Open
Reinforcement learning is the problem of autonomously learning a policy guided only by a reward function. We evaluate the performance of the Proximal Policy Optimization (PPO) reinforcement learning algorithm on a sensor management task an…
View article: Cognitive Radar Special Issue—Part 2
Cognitive Radar Special Issue—Part 2 Open
S.5-6
View article: A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies
A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies Open
Analytic dynamic models for target estimation are often approximations of the potentially complex behaviour of the object of interest. Its true motion might depend on hundreds of parameters and can involve long-term temporal correlation. H…
View article: Cognitive Radar Special Issue—Part 1
Cognitive Radar Special Issue—Part 1 Open
Since the pioneering works by Simon Haykin and Joe Guerci over a decade ago, the field of cognitive radar has become well established in research and industry, as can be clearly seen by the growing number of special sessions, citations, an…