SBIR-STTR Award

Passive Range Estimation from Angle-only Sensor Data (Acq Pointing & Tracking)
Award last edited on: 3/26/2012

Sponsored Program
SBIR
Awarding Agency
DOD : MDA
Total Award Amount
$1,100,000
Award Phase
2
Solicitation Topic Code
MDA08-050
Principal Investigator
William J Browning

Company Information

Applied Mathematics Inc

1622 Route 12 Po Box 637
Gales Ferry, CT 06335
   (860) 464-7259
   webmaster@applmath.com
   www.applmath.com
Location: Single
Congr. District: 02
County: New London

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2009
Phase I Amount
$100,000
We propose to adapt angle-only passive ranging methods developed for use by the submarine force to the problem of range estimation for missiles and rockets. Three particular methods will be examined: parallax or triangulation ranging; tracker/filter algorithms; and the relationship between range and the rate of angle change over time. Parallax ranging is an instantaneous method that uses angle measurements from two physically separated sensors. Tracker and filter algorithms use target motion models and measurement error models, to calculate a stochastic estimate of the target state. The instantaneous rate at which the angle to the target changes over time, can be related mathematically to the range to that target. These methods can also be used to estimate maximum range.

Keywords:
Passive Range Estimation, Angle-Only, Bearings-Only, Tracking

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2011
Phase II Amount
$1,000,000
We propose to adapt angle-only passive ranging methods developed for submarine warfare to the problem of range estimation for missiles using current electro-optical sensor systems in order to provide fire control quality tracking at or near threat burnout to support early intercept. Three methods will be developed: parallax or triangulation ranging; angle rate ranging; and tracker/filter algorithms. Parallax ranging is an instantaneous method that uses angle measurements from two physically separated sensors. The instantaneous rate at which the angle to the target changes over time can be related mathematically to the range to the target. These methods can also be used to estimate maximum range. Tracker and filter algorithms use target and sensor platform motion models and sensor measurement error models to calculate a stochastic estimate of the target state. Real and synthetic data sets will be used to evaluate passive ranging and tracking system performance.

Keywords:
Passive Range Estimation, Angle-Only, Tracking, Monocular Passive Ranging, Triangulation Ranging, Parallax Ranging