Enhanced Target and Clutter Separation by Sensor and Data Fusion
Abstract
In developing systems whose purpose it is to protect aircraft from missile attack, an important problem is the detection and tracking of small missiles, where the missiles approach the aircraft at high speed, and in a high clutter environment. The goals are to: (1) detect the presence of a missile, (2) correctly identify the missile (and in particular not mistake a missile for clutter), and (3) track and jam the missile effectively. This paper discusses goal (2), describing improvements in the ability to separate IR targets from clutter, due to employment of sensor and data fusion. These techniques are utilized in conjunction with more standard techniques which are specific to individual sensors, including matched filtering (spatial or spectral), windowing, gating, integration, and adaptive thresholding.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1999
- Accession Number
- ADA392180
Entities
People
- Abraham Lesnik
Organizations
- Northrop Grumman