<title>Software systems testing of a closed loop tracking system using a SIMULINK-based simulation</title>

Abstract

Problems associated with integrating, debugging and validating real time software systems are well known. Closed ioop tracking systems contain functional elements that illustrate the most difficult aspects of integrating, debugging, and ultimately validating the performance of real time software. Among these are severe real time constraints for line of sight control processing, image processing, inter-processor and peripheral communication. In addition, these highly complex algorithms are running on the target processors that are seldom tested end-to-end prior to system integration.The problem is exacerbated by unavailable or intermittently available hardware during the development and the integration phase of a typical program. Even with fully integrated hardware and software, performance validation is difficult because operational conditions of the platform and targets cannot be adequately represented in a laboratory setting without costly equipment to support hardware-inthe-loop simulation. The pressure to reduce cost and algorithm development to real-time software cycle time further aggravates the problem by limiting the time available for gaining confidence in the algorithms and software before they are committed to integration. This paper discusses a simulation approach that has streamlined the real-time software development process for a closed loop image-based tracking system. The MATLAB/SIMULINK simulation consists of elements constructed from common source modules shared with the deliverable system. The simulation has provided a tool to support algorithm development for the fundamental system components, including a system controller, a servo controller, and an image processor. In addition, the simulation has provided a testbed for verification of system performance. The context for this application is the low rate initial production phase of a tactical airborne avionics system that includes an image-based tracking system.

Controlled tracking in urban terrain: Closing the loop

“…A more recent work by O'Rourke and Swindlehurst [5] demonstrated a closed feedback loop approach for multitarget tracking with the use of RF/EO sensors. Computational aspects of a closed-loop image-based tracker of airborne targets were considered by Robinson and Sasaki [6], and a closed-loop CCDbased target tracking mechanism for airborne targets was developed by Deng et al [7]. An overview of systems-level modeling for the performance evaluation of closed-loop tracking systems for naval applications was given by Beeton and Hall [8]; closed-loop target tracking for underwater systems is also beginning to gain traction [9].…”

Multitarget-multisensor tracking in an urban environment: a closed-loop approach

“…7 Computational aspects of how Matlab/Simulink can be used to develop a closed-loop image-based tracker of airborne targets were the focus of Robinson and Sasaki. 8 An overview of systems-level modeling for the performance evaluation of closed-loop tracking systems for naval applications was given by Beeton and Hall. 9 Note that waveform scheduling was not considered in any of these previous studies.…”