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.