Angular Resolution of Closely-Spaced Targets with Antenna Arrays
This is an English translation of Ulrich Nickel's PhD dissertation with the original title "Winkelaufl\"osung eng benachbarter Ziele mit Gruppenantennen." It describes maximum-likelihood angular superresolution of closely-spaced targets. It also discusses estimating the number of targets present.
Code (0)
등록된 구현이 없습니다.
Tasks
TranslationSimilar Papers 제목 키워드 기반
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars
A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed using a self-supervised learning scheme. Dat…
Decision MakingSelf-Supervised LearningOn array geometry and self-interference in full-duplex massive MIMO communications
This paper studies the role of the joint transmit-receive antenna array geometry in shaping the self-interference (SI) channel in full-duplex communications. We consider a simple spherical wave SI model and two prototypi…
Enhancing Fourier-based Doppler Resolution with Diffusion Models
In radar systems, high resolution in the Doppler dimension is important for detecting slow-moving targets as it allows for more distinct separation between these targets and clutter, or stationary objects. However, achie…
Two-step Machine Learning Approach for Channel Estimation with Mixed Resolution RF Chains
Massive MIMO is one of the main features of 5G mobile radio systems. However, it often leads to high cost, size and power consumption. To overcome these issues, the use of constrained radio frequency (RF) frontends has b…
BIG-bench Machine LearningGenerative Adversarial NetworkCFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar
Millimeter-wave (mmWave) OFDM radar equipped with rainbow beamforming, enabled by joint phase-time arrays (JPTAs), provides wide-angle coverage and is well-suited for fast real-time target detection and tracking. However…
Computational Efficiency