Test and evaluation of the Rockwell Collins GNP-10 for the precision kill and targeting (PKAT) missile system

Abstract

The U. S. Army Aviation and Missile Command (AMCOM), Research, Development, and Engineering Center W E C ) is developing advanced technologies for demonstration on a missile testbed with Precision Kill and Targeting (PKAT) capabilities. Currently in the U.S. Army inventory there is no long-range stand-off precision guided weapon with real-time target imaging capabilities.Experience has demonstrated the value of real-time imagery and information provided to a trained gunner directly from the weapon. The goal of PKAT program is to develop technologies to provide this capability at operational ranges up to 30 km while providing additional critical information in real-time such as surveillance, targeting, and battlefield damage assessment. It has been determined that a Global Positioning System (GPS)/Inertial Navigation System (INS) will be the most cost effective navigation approach for the PKAT program.

Formations of Robotic Swarm: An Artificial Force Based Approach

“…For example, if the GPS receiver updates the position in 1Hz frequency, a robotic vehicle moving in 4 / m s can have 4m error due to the motion. But, using inertial navigating technologies, in which acceleration is used to calculate positions, together with GPS technology the short range errors in GPS can be eliminated (Caldwell 1988;Gamble and Jenkins 2000;Hyslop, Gerth et al 1990;Loffler and Nielson 2003;Renfroe, McMinemon et al 2000) leaving only the random measurement noise as errors.…”

Formations of Robotic Swarm: An Artificial Force Based Approach

“…For example, if the GPS receiver updates the position in Hz 1 frequency, a robotic vehicle moving in s m/ 4 can have m 4 error due to the motion. But, using inertial navigating technologies, in which acceleration is used to calculate positions, together with GPS technology the short range errors in GPS can be eliminated (Caldwell 1988;Gamble & Jenkins 2000;Hyslop, Gerth et al 1990;Loffler & Nielson 2003;Renfroe, McMinemon et al 2000) leaving only the random measurement noise as errors.…”