TECHNIQUE OF C PROGRAM TRANSLATION FOR RECONFIGURABLE AND HYBRID COMPUTER SYSTEMS BASED ON FIELD-PROGRAMMABLE GATE ARRAYS

In this paper, we thoroughly consider the technique of conversion of procedural programs in C to configuration files for field-programmable gate arrays used in the toolkit for programming of reconfigurable and hybrid computer systems. The creation of parallel program in the COLAMO (Common Oriented Language for Architecture of Multi Objects) language using the analysis results of information dependences in the initial procedural program and its further conversion to a parallel and pipeline form are the distinctive characteristics of the technique. We addressed the methods of scalar splitting and array extension by iterations, which are applied for the fulfillment of the single assignment and unique substitution rules in parallel program and the saving of information communications of the initial procedural program. The technique of conversion of automatically created parallel program to the scalable parallel and pipeline form is presented. The “Procrustes” preprocessor adapts the form for different architectures and configurations of reconfigurable and hybrid computer systems. Owing to the described methodology, it is possible to synthesize a resource-independent scalable COLAMO-application, which can adapt to available computational resource by changing of several constants in automatic mode without any considerable modification of the program source code. Then, the scalable COLAMO-applicationis translated by the COLAMO-translator into field-programmable gate arrays configuration files for the specified reconfigurable computer resource.

Performance assessment for MUSIC-based DoA estimators

Direction of arrival estimation is a popular technique used for localization and tracking. Many techniques were developed to detect it even in a multipath environment. In this paper we introduce an assessment for four techniques that are based on the MUSIC algorithm. They are the Toeplitz, modified virtual SVD (MV-SVD), Virtual array extension (VSS) and the Modified VSS (MVSS). Two assessment metrics are employed for evaluating these techniques under several conditions such as various SNR vales and numbers of samples. These metrics are RMSE and the success rate.