EURASIP Journal on Applied Signal Processing Special Issue on Radar Space-Time Adaptive Processing Space-time adaptive processing (STAP) is a technique originally developped for detecting slow-moving targets from airborne radars. Although the main principles of STAP have been known for many years, the field has experienced a regain of interest in the early 90' s as a result of the significant increase in computational power. Much of the 90' s focused on monostatic STAP configurations (where the transmitter and receiver are collocated) and on computationally efficient partially adaptive and beamspace techniques. More recently, much of the attention has shifted to the much more challenging case of bistatic configurations (where the transmitter and receiver are located on distinct, independently moving platforms). Another major challenge to STAP systems is operation in strong heterogeneous environments that preclude conventional covariance estimation techniques based on a wide-sense stationarity assumption. Knowledge-aided methods have recently emerged as a potential solution to this problem. In addition, we are currently seeing STAP techniques moving into new areas such as sonar and communications. The goal of this special issue is to discuss the state of the art in radar STAP techniques (suboptimal, bistatic, etc) and to explain why STAP techniques are also proving useful in domains that were probably not initially anticipated. Papers should emphasize advanced signal processing techniques, applications to real data, systems issues, and new concepts and applications. Topics of interest include (but are not limited to): o Operational environments: airborne, space-based, UAV o Bistatic and multistatic STAP o STAP and SAR o Tracking with STAP radars o STAP architectures (e.g., suboptimum processors) o Novel concepts, systems, techniques, and algorithms o Special hardware for real-time STAP o Nonlinear and/or nonuniform antenna arrays o Estimation of radar configuration parameters o Range-dependence compensation o Handling of nonstationary, heterogeneous environments, and knowledge-aided STAP o Polarimetric STAP o Simulation of realistic STAP data o Test of STAP techniques on real-life data o New application areas: sonar, communications (e.g., MIMO), navigation, seismics, and so forth. Authors should follow the EURASIP JASP manuscript format described at the journal site http://www.hindawi.info/asp/. Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP JASP's manuscript tracking system at journal's web site, according to the following timetable. Manuscript Due November 1, 2004 Acceptance Notification March 1, 2005 Final Manuscript Due June 1, 2005 Publication Date 4th Quarter, 2005 GUEST EDITORS: Jacques G. Verly, Department of Electrical Engineering and Computer Science, University of Liège (ULg), Sart-Tilman, Bldg. B28, B-4000 Liège, Belgium; jacques.verly@ulg.ac.be. Fabian D. Lapierre, Department of Electrical Engineering and Computer Science, University of Liège (ULg), Sart-Tilman, Bldg. B28, B-4000 Liège, Belgium. Joseph R. Guerci, Special Project Office (SPO), Defense Advanced Research Project Agency (DARPA), 3701 N. Fairfax Drive, Arlington, VA 22203, USA Braham Himed, Air Force Research Laboratory (AFRL),SNRT, 26 Electronic Parkway, Rome, NY 13441, USA. Richard Klemm, FGAN-FHR, 20 Neuenahrer Street 53343 Watchberg, Germany. Marc Lesturgie, ONERA-DEMR, Chemin de la Hunière, 91761 Palaiseau Cedex, France James Ward, MIT Lincoln Laboratory, Massachusetts Institute of Technology, 244 Wood Street, Lexington, MA 02420-9108, USA.