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Keysight Technologies
Simulation and Veriication
of Pulse Doppler Radar Systems
Application Note
Introduction
Modern radar systems that operate in environments with
strong clutter, noise and jamming require advanced digital
signal processing techniques. Direct analysis techniques
often fail when designing such complex systems. Although
simulation is often used, most simulation tools do not have
enough models and integration capability to handle modern
radar systems.
This application note proposes a solution to this dilemma, a system-design methodology that uses
SystemVue. Examples will be used to illustrate how advanced Pulse Doppler (PD) surveillance
radar with moving target detection (MTD) and a constant false alarm rate (CFAR) processor can
be designed by using a platform in the SystemVue tool. To ensure the design works properly, the
platform can be connected to instrumentation for system test and veriication. This allows users to
reduce their system development time and cost, while also decreasing their chances of unexpected
system failures late in the system development process.
1.0 System Design Challenges
Advanced radar systems are very complex, necessitating sophisticated signal processing algo-
rithms. Effective algorithm creation requires both a platform for simulation and for veriication.
Models for signal generation, transmission, antennas, T/R switching, clutter, noise, jamming,
receiving, signal processing, and measurements are also needed to create advanced algorithms.
Most simulation tools do not have enough models and the integration capability needed to
design such complex algorithms. SystemVue provides an effective and eficient environment for
algorithm creation.
03 | Keysight | Simulation and Veriication of Pulse Doppler Radar Systems - Application Note
2.0 Signal Processing Algorithm Creation
The system-design methodology proposed below uses SystemVue. It concentrates on *SystemVue has a built-in
algorithm design for PD radar systems. The development of MTD and CFAR processors m-code compatible processor,
in a time-eficient manner are used as examples to better understand this methodology. called MathLang, which is available
for use throughout the program.
To begin, consider the tasks undertaken by the radar DSP algorithm designer, which Existing m-code iles can also be
typically breaks down into the following two stages: directly incorporated into a design.
In addition, it has the capability of
co-simulating with MATLAB, from
Stage 1. Design the algorithm in software and verify it using a The MathWorks of Natick, MA.
simulation tool.
To accomplish this task, the designer needs: