Aircraft and space-based radars on moving platforms leverage the height advantage of their platforms, not only overcoming the impact of the Earth's curvature but also offering flexible deployment in applications to secure valuable early warning time. Since these radars operate in a downward-looking mode, they must detect moving targets against a strong ground/sea clutter background. Particularly, the high-speed movement of the platform causes the Doppler frequency of the clutter signals to couple with the approach direction, leading to a severe broadening of the clutter in the Doppler frequency domain, posing a severe challenge to the target detection performance of moving platform radars. Space-time adaptive signal processing is an effective technical approach to solve the aforementioned difficulties, including Space-Time Adaptive Processing (STAP) and Space-Time Adaptive Detection (STAD) technologies. With the continuous expansion of application requirements and the increasing complexity of the electromagnetic environment, space-time adaptive signal processing technologies for moving platform radars face many new challenges, including non-uniform clutter suppression in complex terrain scenarios, new-style interference suppression in complex electromagnetic environments, and detection of special moving targets.

To comprehensively showcase the latest research achievements and future development trends in space-time adaptive signal processing technologies for moving platform radars and to accelerate China's exploration and innovation in this field, Journal of Radars plans to organize a special issue on "Space-Time Adaptive Signal Processing Technology for Radar on Moving Platforms" in the second half of 2025. The guest editors of the special issue are Professor Xie Wenchong and Associate Professor Liu Weijian from the Air Force Early Warning Academy, Professor Xu Jingwei from Xidian University, Researcher Hao Chengpeng from the Institute of Acoustics, Chinese Academy of Sciences, and Associate Professor Duan Keqing from Sun Yat-sen University. The journal is now openly soliciting papers for the special issue and sincerely welcomes contributions from experts and scholars at home and abroad. The specific submission details are as follows.

I. Call for Papers Direction

1. Fine-scale clutter modeling for moving platform radars;

2. Space-time adaptive processing in non-uniform clutter environments;

3. Space-time adaptive processing under jamming conditions;

4. Space-time adaptive detection for moving platform radars;

5. Space-time adaptive signal processing for new system radars;

6. Engineering implementation and performance evaluation of space-time adaptive signal processing algorithms;

7. Other related content.

II. Submission Requirements

1. Papers should have strong originality, and reviews should have considerable breadth, depth, and forward-looking perspectives;

2. Submissions should be demilitarized and include the original confidentiality review form (stamped);

3. Manuscripts should be formatted in Word with full-width layout;

4. Please register and upload your submission on the "Journal of Radars" website (https://radars.ac.cn) at the "Author Center," and note "Space-Time Adaptive Signal Processing Technology for Radar on Moving Platforms" in the author's message;

5. Submission deadline: July 31, 2025;

6. Contact person: Jia Shouxin, telephone: 010-58887223, email: radars@aircas.ac.cn.