What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Algorithm
The scientist’s investigation covers issues in Algorithm, Artificial intelligence, Fourier transform, Computer vision and Computational complexity theory.
His Algorithm research includes themes of Radar, Energy and Mathematical optimization.
His Radar research incorporates elements of Signal-to-noise ratio and Electronic engineering.
His Mathematical optimization research is multidisciplinary, relying on both Particle filter, MIMO, Filter and Radar tracker.
Lingjiang Kong has included themes like Continuous-wave radar, Detector and Pulse-Doppler radar in his Artificial intelligence study.
His Computer vision research integrates issues from Envelope, Dynamic programming and Low probability of intercept radar, Bistatic radar, Radar imaging.
His most cited work include:
- Coherent Integration for Maneuvering Target Detection Based on Radon-Lv’s Distribution (109 citations)
- A Fast Maneuvering Target Motion Parameters Estimation Algorithm Based on ACCF (85 citations)
- An Efficient Multi-Frame Track-Before-Detect Algorithm for Multi-Target Tracking (82 citations)
What are the main themes of his work throughout his whole career to date?
Lingjiang Kong spends much of his time researching Algorithm, Radar, Artificial intelligence, Clutter and Computer vision.
The Algorithm study combines topics in areas such as Electronic engineering, Track-before-detect, Radar tracker, Fourier transform and Signal.
In his study, Upper and lower bounds and Antenna is inextricably linked to Mathematical optimization, which falls within the broad field of Radar tracker.
His Radar study deals with MIMO intersecting with Optimization problem.
His research ties Pattern recognition and Artificial intelligence together.
His work carried out in the field of Clutter brings together such families of science as Detector, Covariance, Constant false alarm rate, Covariance matrix and Likelihood-ratio test.
He most often published in these fields:
- Algorithm (50.67%)
- Radar (38.17%)
- Artificial intelligence (24.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Algorithm (50.67%)
- Radar (38.17%)
- Radar tracker (16.07%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Algorithm, Radar, Radar tracker, Optimization problem and Tracking.
The study incorporates disciplines such as Pulse compression, Penalty method, Range, Interference and Signal in addition to Algorithm.
His research in Radar is mostly concerned with Radar imaging.
His study in Radar tracker is interdisciplinary in nature, drawing from both Coordinate system, Weighted arithmetic mean, Sampling, Upper and lower bounds and Robustness.
The subject of his Tracking research is within the realm of Artificial intelligence.
Lingjiang Kong usually deals with Artificial intelligence and limits it to topics linked to Computer vision and Multipath propagation.
Between 2019 and 2021, his most popular works were:
- MIMO Radar Transmit–Receive Design for Moving Target Detection in Signal-Dependent Clutter (21 citations)
- Computationally Efficient Distributed Multi-Sensor Fusion With Multi-Bernoulli Filter (17 citations)
- Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Algorithm
Lingjiang Kong mainly focuses on Algorithm, Radar, Covariance intersection, Linear programming and Acoustics.
His work deals with themes such as Range, Fourier transform and Track-before-detect, which intersect with Algorithm.
Lingjiang Kong interconnects MIMO, Non-line-of-sight propagation and Multipath propagation in the investigation of issues within Radar.
His Covariance intersection study integrates concerns from other disciplines, such as Cluster analysis, Radar tracker, Waveform, Real-time computing and Upper and lower bounds.
His Linear programming research incorporates themes from Constraint, Focus and Interference.
His studies deal with areas such as Extremely high frequency, Electromagnetic radiation and Mimo radar as well as Acoustics.
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