SBIR/STTR Research Award

High Resolution Tracking of Distributed Targets

Award identifier c0e4bf276969927fcfc09d7130629c55cfdbf7a317e749a8210259ee4270dab0Awarding agency Department of Defense · Army

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

1997

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
SCIENTIFIC SYSTEMS COMPANY, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
C12TQVKF5413
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The new Phase Array Radars have range and angle resolutions capable of resolving multiple scattering centers of a single target. This capability produces multiple returns from a single target, creating a new problem for the tracking algorithms, viz. tracking a target that has multiple (resolved) scattering centers The solution proposed here is based on a Multiple Target Tracking (MTT) approach, using either a Joint Probabilistic Data Association Filter (JPDAF) or a Multiple Hypothesis Testing (MHT) filter. In the Multiple Target Tracking approach each of the main scattering centers will be tracked individually, and the estimates for the single target will be obtained from the fusion of the individual tracks. The measurements-to-tracks associations will be done using either JPDAF or MHT. Both of these techniques use simultaneous associations, so that no measurement can be assigned to two different scattering centers at the same time. Each individual track filter will be implemented using an Interacting Multiple Model (IMM) Kalman filter to allow for "glint effects" of each scattering center. The IMM in this case will use two models: one corresponding to the Gaussian measurement noise assumptions, and the other for a "heavy-tail" (glint) measurement noise. In the case of a maneuvering target, this approach will be embedded into another IMM designed to take into account the maneuvers (Hierarchical IMM). The MTT approach will be compared with a suboptimal but computationally more efficient approach that combines the multiple returns associated with a particular target into a single measurement. The centroid of the target and the associated variance are coinputed using a nearest neighbor clustering technique. The IMM filter is used for single target tracking after measurement fusion. ARCON Corporation and Professor Y. Bar-Shalom, both of whom have done pioneering work in target tracking, will provide support during all phases of the SBIR project. Besides applications in tracking of satellites, there are a number of situations where the target will present multiple scatterers: tracking ground vehicles, last stage of missile homing, aircrafts in the radar proximity (landing and take-off of big a

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

464 SBIR/STTR records share this UEI (1983–2025). Reported award amounts total $186,567,405. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy, Department of Health and Human Services, Department of Homeland Security

Agency intelligence

Department of Defense

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