CNN-based cognitive radar array selection

AM Elbir, KV Mishra, YC Eldar - 2019 IEEE Radar Conference …, 2019 - ieeexplore.ieee.org
In cognitive radar, it may be desired to select an optimal subarray from a full antenna array in
each scan to reduce the cost and computational complexity. Previous works on antenna …

Deep-sparse array cognitive radar

AM Elbir, S Mulleti, R Cohen, R Fu… - 2019 13th International …, 2019 - ieeexplore.ieee.org
In antenna array based radar applications, it is often desirable to choose an optimum
subarray from a full array to achieve a balance between hardware cost and resolution …

Cognitive radar antenna selection via deep learning

AM Elbir, KV Mishra, YC Eldar - IET Radar, Sonar & Navigation, 2019 - Wiley Online Library
Direction‐of‐arrival (DoA) estimation of targets improves with the number of elements
employed by a phased array radar antenna. Since larger arrays have high associated cost …

Hardware prototype demonstration of a cognitive radar with sparse array antennas

R Fu, S Mulleti, T Huang, Y Liu, YC Eldar - Electronics Letters, 2020 - Wiley Online Library
As a typical signal processing problem, direction‐of‐arrival (DOA) estimation has been
adapted to a wide range of applications in radar‐based systems. A high DOA resolution …

Radar Antenna Selection for Direction-of-Arrival Estimations

A Atalik, M Yilmaz, O Arikan - 2021 IEEE Radar Conference …, 2021 - ieeexplore.ieee.org
Multi-antenna radars exhibit positively correlated detection performance with the number of
elements utilized. The feasibility of refining antenna arrays to reduce cost of operation with …

Detecting potential performance improvements in cognitive radar systems

A Egbert, A Goad, C Baylis, RJ Marks… - 2021 IEEE Radar …, 2021 - ieeexplore.ieee.org
As a cognitive radar system adapts to interference in real time by adjusting its transmission
characteristics, such as operating frequency and bandwidth, the optimal load impedance for …

Range–angle-dependent beamforming for cognitive antenna array radar with frequency diversity

A Basit, IM Qureshi, W Khan, AN Malik - Cognitive Computation, 2016 - Springer
The inspiration behind a basic cognitive radar is the analogy between human brain and
radar signal processing techniques. In this paper, we propose a hybrid model of cognitive …

Cognitive Radar Signal Processing Based on Convolutional Neural Network

Y Gan, W Li, Z Zheng, J Zhao, K Zou… - 2021 IEEE 6th …, 2021 - ieeexplore.ieee.org
Single-criterion is difficult to meet the radar's multi-working mode and multi-tasks, a signal
processing method using convolutional neural network (CNN) for cognitive radar is …

Hardware Demonstration of a Scalable Cognitive Sparse Array

S Muleti, Y Shavit, M Namer… - 2020 IEEE Radar …, 2020 - ieeexplore.ieee.org
High-resolution direction of arrival estimation requires a large number of antenna elements
which increases the computational cost, hardware complexity, and power requirements. To …

Machine learning based cognitive radar resource management

M Shaghaghi, RS Adve - 2018 IEEE Radar Conference …, 2018 - ieeexplore.ieee.org
A modern radar may be designed to perform multiple functions, such as surveillance,
tracking, and fire control. Each function requires the radar to execute a number of transmit …