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Performance Evaluation of a Pulse-Doppler Radar with Digital IF Using Modern Technical Computing and CAD Tools

Soufiane Matah(1*), Lahbib Zenkouar(2)

(1) Laboratoire d’Electronique et de Communication (LEC), Ecole Mohammadia d’Ingénieurs (EMI), Mohammed V University, Morocco
(2) Laboratoire d’Electronique et de Communication (LEC), Ecole Mohammadia d’Ingénieurs (EMI), Mohammed V University, Morocco
(*) Corresponding author


DOI: https://doi.org/10.15866/irease.v9i3.9776

Abstract


In this paper, we build an approach for radar systems performance evaluation using modern CAD tools. In fact, modern system engineering software environments present many radar models that can be taken as a reflection track. This work tries to follow the radar signal trough the different subsystems of a pulse-Doppler radar, from the waveform generation until the detection probability computation. To give more robustness to this process, the signal flow analysis is accompanied with equation based evaluation. The analyzed system was designed by our team starting from an Agilent SystemVue model whose computations were done by a MATLAB script. In fact, the whole Data Flow (DF) simulation is controlled by this script which gathers all the mathematical analysis which is ‘behind’ the model. Really, this mathematical chain permits the reader to understand the simulation and to predict the results. Progressing in a ‘whole’ process, our approach combines the theory and computation with functional description which gives a sense to the ‘numbers’. In addition, this ‘wholeness’ is reinforced by integrating signal visualization graphics that permit the reader to make a synthetic view on the signal shapes and so, to understand the system operation. This implies the use of software instrumentation within the DF simulator. All these analysis components (functional, mathematical and simulation based) are guided by an evaluation criterion: the detection probability. This work is very useful in all the radar system life cycle steps (design, operation and maintenance) because it contributes to cost reduction and operational effectiveness.
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Keywords


Detection Probability; Gain; Noise; Radar; Signal to Noise Ratio; Spectrum; System

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