Intelligent Signal Processing for Integrated Sensor System
Abstract
New robust and efficient techniques to effectively detect ground moving targets in the presence of severe clutter and jamming environments are introduced. The first is an Image Feature Based Space Time Processing (IFSTP) algorithm. This new approach exploits the distinct image features of targets and interference signals in the angle-Doppler domain. An image segmentation algorithm, referred to as Region Growing (RG), extracts targets and interference features in the angle-Doppler domain, and an innovative block-size detection algorithm discriminates between moving targets and interference based on the extracted image features. The second uses a novel waveform scheme to concurrently extract target range and Doppler information. A pair of orthogonal waveforms with different pulse repetition frequencies (PRF) are bundled and transmitted as a single hybrid radar waveform for target measurement. At the receiver, two orthogonal signal processing channels consisting of a low PRF and high PRF channel, perform the extraction of target range and Doppler information, respectively. The CLEAN algorithm is innovatively used to suppress the interference form the cross-correlation residues and the auto-correlation sidelobe in the LPRF channel.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2006
- Accession Number
- ADA444322
Entities
People
- Braham Himed
- Hai Deng
Organizations
- University of New Orleans