Airborne Radar STAP using Sparse Recovery of Clutter Spectrum

Details Airborne Radar STAP using Sparse Recovery of Clutter Spectrum Airborne Radar STAP using Sparse Recovery of Clutter Spectrum

2010-08-25

arxiv.org/abs/1008.4185v1

Computer Science

Information Theory

28 pages, 11 figures, Submitted to the IEEE Transactions on Aerospace and Electronic Systems in April,2010

Scientific paper

Space-time adaptive processing (STAP) is an effective tool for detecting a moving target in spaceborne or airborne radar systems. Statistical-based STAP methods generally need sufficient statistically independent and identically distributed (IID) training data to estimate the clutter characteristics. However, most actual clutter scenarios appear only locally stationary and lack sufficient IID training data. In this paper, by exploiting the intrinsic sparsity of the clutter distribution in the angle-Doppler domain, a new STAP algorithm called SR-STAP is proposed, which uses the technique of sparse recovery to estimate the clutter space-time spectrum. Joint sparse recovery with several training samples is also used to improve the estimation performance. Finally, an effective clutter covariance matrix (CCM) estimate and the corresponding STAP filter are designed based on the estimated clutter spectrum. Both the Mountaintop data and simulated experiments have illustrated the fast convergence rate of this approach. Moreover, SR-STAP is less dependent on prior knowledge, so it is more robust to the mismatch in the prior knowledge than knowledge-based STAP methods. Due to these advantages, SR-STAP has great potential for application in actual clutter scenarios.

Affiliated with

Also associated with

No associations

Rating

Airborne Radar STAP using Sparse Recovery of Clutter Spectrum does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Airborne Radar STAP using Sparse Recovery of Clutter Spectrum, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Airborne Radar STAP using Sparse Recovery of Clutter Spectrum will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-524674