Radar Systems and Signal Processing
Radar Systems and Signal Processing is a research topic within Aerospace Engineering. Science Explorer counts 22k research works in it since 1951. 38.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the research and development of Multiple-Input Multiple-Output (MIMO) radar systems, with an emphasis on waveform design, signal processing, cognitive radar, automotive radar applications, space-time adaptive processing, frequency diverse array antennas, joint radar-communication design, passive radar technology, and target detection and localization. The papers cover various aspects of MIMO radar technology and its integration with communication systems.
- MIMO Radar
- Waveform Design
- Signal Processing
- Cognitive Radar
- Automotive Radar
- Space-Time Adaptive Processing
- Frequency Diverse Array
- Joint Radar-Communication Design
- Passive Radar
- Target Detection
- Research works
- 22k fractional, since 1951
- In the world top 10%
- 8.7k per year above
- Top-10% rate
- 38.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +34% the tick is no change
Which countries lead Radar Systems and Signal Processing research?
By volume, China and the United States publish the most (2.9k and 427 works in 2022–2025).
By volume, 2022–2025
- 1 China 2.9k works
- 2 United States 427 works
- 3 India 227 works
- 4 Germany 180 works
- 5 United Kingdom 137 works
- 6 Italy 128 works
- 7 South Korea 128 works
- 8 Canada 74 works
- 9 Russia 71 works
- 10 Japan 70 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Radar Systems and Signal Processing research?
By volume in 2022–2025, University of Electronic Science and Technology of China publishes the most Radar Systems and Signal Processing research, followed by Xidian University and National University of Defense Technology.
By volume, 2022–2025
- 1 University of Electronic Science and Technology of ChinaChina 241 works
- 2 Xidian UniversityChina 237 works
- 3 National University of Defense TechnologyChina 173 works
- 4 Beijing Institute of TechnologyChina 115 works
- 5 Nanjing University of Aeronautics and AstronauticsChina 68 works
- 6 Harbin Institute of TechnologyChina 68 works
- 7 Nanjing University of Science and TechnologyChina 66 works
- 8 Air Force Engineering UniversityChina 59 works
- 9 Sun Yat-sen UniversityChina 59 works
- 10 Northwestern Polytechnical UniversityChina 54 works
Who are the leading researchers in Radar Systems and Signal Processing?
The most-cited researchers publishing on Radar Systems and Signal Processing include H. Vincent Poor, Robert W. Heath and Mohamed‐Slim Alouini.
- 1 H. Vincent Poor United States 9.5k citations
- 2 Robert W. Heath United States 7.1k citations
- 3 Mohamed‐Slim Alouini Saudi Arabia 5.9k citations
- 4 Zhu Han United States 4.7k citations
- 5 Georgios B. Giannakis United States 4.6k citations
- 6 Dusit Niyato Singapore 4.5k citations
- 7 Yonina C. Eldar Israel 4k citations
- 8 Petre Stoica Sweden 3.8k citations
- 9 S. Haykin Canada 3.5k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Radar Systems and Signal Processing research done?
The largest centres of Radar Systems and Signal Processing research in 2022–2025 are Beijing (China), Xi'an (China), Chengdu (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wachtberg and Xi'an.
Largest cities, 2022–2025
Where it is the local speciality
- WachtbergDE · 24.9 works228×
- Xi'anCN · 430.9 works11×
Location quotient: how much more of its research is in Radar Systems and Signal Processing than the world average.
Where is the best place to study Radar Systems and Signal Processing?
Among universities, judged by research, University of Luxembourg, Xidian University and University of Electronic Science and Technology of China score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | University of LuxembourgLuxembourg | 70.5 | 47.4% | 16.6× | 19 | +497.8% |
| 2 | Xidian UniversityChina | 69.8 | 47.5% | 64.2× | 236 | +22.8% |
| 3 | University of Electronic Science and Technology of ChinaChina | 66.8 | 37.8% | 42.5× | 241 | +42.3% |
| 4 | National University of Defense TechnologyChina | 64.7 | 43.9% | 44.2× | 173 | +22.6% |
| 5 | Nanjing University of Posts and TelecommunicationsChina | 61.8 | 37.2% | 11.9× | 26 | +191.8% |
| 6 | Beijing University of Posts and TelecommunicationsChina | 61.2 | 39.5% | 16.7× | 52 | +99.2% |
| 7 | Southeast UniversityChina | 60.2 | 43.0% | 7.1× | 48 | +181.1% |
| 8 | Beijing Institute of TechnologyChina | 58.6 | 33.1% | 19.2× | 115 | +21.7% |
| 9 | Air Force Engineering UniversityChina | 56.6 | 43.8% | 80.1× | 59 | -5.6% |
| 10 | Harbin Institute of TechnologyChina | 53.1 | 33.7% | 8.3× | 68 | +60.6% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Radar Systems and Signal Processing research growing?
Output in 2018–2022 was 34% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Radar Systems and Signal Processing.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.