ADTE Image Recognition Screen

Delta-Utec commercially offers Attitude Determination Test Environment (ADTE), the most extensive star sensor algorithm development kit in the market. Contact us for a quote. The tool can be used for algorithm development, batch processing of star sensor imagery, simulated image generation, camera performance simulation and optimization, and actual camera design assessment. 

The most common star sensor algorithms are included, as well as Delta-Utec's high-performance algorithms are included (most likely triangles). Multi-camera operation is supported, as well custom algorithms for low-cost Commercial Off The Shelf cameras (COTS), making this the ideal starting kit for building your own star sensor on a small satellite. The algorithm code is delivered in matlab and Pascal, as well as embedded C. The test environment graphical interface is provided in Delphi Pascal. 

Automated Star Sensor Performance Assessment using Real-Sky Data of MEFIST II

Star sensors based on pattern recognition provide the most accurate attitude solution available for spacecraft, even when using large field of view cameras. Due to advances in CCD, CMOS, integrated circuit technologies, and robust algorithms, star sensors are becoming more and more a viable alternative to solutions that were traditionally cheaper. A great many star sensor hardware is thus currently under development worldwide. This trend creates a market for generic design support software, automated batch processing of imagery resulting from real-sky tests and automated camera performance assessment. For this purpose, the Attitude Determination Test Environment (ADTE) tool was developed (formerly known as SSATT).

The major novelty of the ADTE is that it contains a generic interface to batch process real-sky test imagery that provides as output the average directional accuracy of the camera, lens deviation correction estimates and performance distributions as a function of star magnitude or star class. No sophisticated test set-up or idealized mathematical performance analysis is necessary. The tool includes camera simulation settings and up-to-date detection/rejection, centroiding and pattern recognition algorithms including upgraded versions of Liebe, Quine and Delta-Utec Douma Extension (DUDE). Pattern data storage and retrieval is based on the very fast multidimensional pointer-based array algorithms. Various recursive validation techniques maximize the number of recognized stars per image.

The ADTE tool was validated in a real-sky test with the MEFIST-II camera in the Negev desert. This paper shortly explains the functionality of the tool and algorithms behind it and focuses on the analyses and results performed for MEFIST-II.

Installation of MEFIST on Wise Observatory, Negev desert.