Open Access Open Access  Restricted Access Subscription or Fee Access

Studying and Modeling of a Pulse Compression Doppler Radar with Modern 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) Electrical Engineering department at School of Engineers Mohammadia Rabat (EMI), Morocco
(*) Corresponding author



In this paper, we put the pillars of a studying and modeling approach of a pulse compression Doppler radar with modern CAD tools. In fact, modern system-engineering software environments offer many radar-models that can be taken as reflection tracks. This work tries to show, in an analytical and practical manner, the impact of the pulse compression (PC) and the pulse Doppler (PD) processing on the radar-system performance. To give the robustness to our process, simulation results analysis is accompanied with mathematical evaluation. The study is based on the model based engineering (MBE) philosophy of the SystemVue environment reinforced by the MATLAB computational power. In fact, the digital signal processing models used in the Data Flow (DF) simulation are based on the Math Language. Progressing through a whole process, our approach combines the computation and visualization with the functional description to give a sense to numbers and curves. This will permit the reader to make a synthetic vision on the waveforms and to understand step by step the PC and PD utility for the system operation. Using the software instrumentation permits to follow the performance indicators that are the signal to noise ratio (SNR) and the detection probability (Pd). In fact, the overall analysis is guided by these two indicators. This work is useful for all the radar system life cycle (design, operation and maintenance) because it contributes to cost reduction and operational efficiency.
Copyright © 2016 Praise Worthy Prize - All rights reserved.


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

Full Text:



J. Héctor, C. Sturm, and J. Ponte, Radio Systems Engineering: A Tutorial Approach, (Springer, 2014).

W. Wiesbeck and L. Sit, Radar 2020: The future of radar systems, International Radar Conference, (2014), 1–6.

M. C. Budge and S. R. German, Basic Radar Analysis, (Artech House, 2015).

D. A. Shnidman, Radar detection probabilities and their calculation, IEEE Transactions on aerospace and Electronic Systems, vol. 31, (1995), 928-950.

G. R. Curry, Radar Essentials, 1st ed. ( SciTech Publishing., Raleigh 2012, pp. 12-30).

J. S. Herd, Multifunction Phased Array Radar Panel, Lincoln Laboratory Tech Notes ( 2011), 1-2.

M. I. Skolnik, Introduction to Radar Systems, 3rd ed. (McGraw-Hill, New York, 2001, pp. 538-761).

M. I. Skolnik, Editor in Chief, Radar Handbook, 3rd ed (McGraw-Hill, New York, 2008, pp. 6.1-6.51).

J. Colin, Le radar: théorie et pratique (Ellipses, Paris, France 2002, pp. 91-124).

M. A. Richards, Fundamentals of Radar Signal Processing, (McGraw-Hill, New York, 2005, pp. 225-294).

B. R. Mahafza, Radar Systems Analysis And Design Using Matlab, 3rd ed. (Taylor & Francis Group, New York, 2013, pp. 361-402).

M. Elmandjra, Valeur Des Valeurs, 2nd ed. (Rabat, Morocco, 2007, pp.10).

The MathWorks, Inc., End-to-End Radar System, R2015a Documentation, pp. 1-5.

Keysight Technologies, Radar System Design and Interference Analysis Using Keysight SystemVue, App. Note, 2014, pp-1-15.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2021 Praise Worthy Prize