Defence Technology

Radar Training Laboratory

About Product

The Radar Training System is a real, safe-to-use pulse + FMCW radar platform designed for close-range object detection, SAR imaging, Doppler studies, and radar data classification. It supports multiple concurrent users and provides real-time radar signals for training, research, and machine-learning applications.

Features
Specification
Experiments

  • Real-time modular system with a facility for a minimum of 5 concurrent users to access the radar. (Expandable to 100 Users using a cloud server)

  • Teacher logs in to start the radar, and students can log in to conduct exercises independently in real time.

  • Allows users to manipulate live and pre-recorder IQ data from the Radar and work independently on the Modular Block diagram editor-based software with large libraries of Scopes, filters, and algorithms.

  • Allows students to play on the Radar Signal Conversion Chain by changing signal conversion functions like STC, DC Suppress, MTI, etc., at different stages concurrently and independently—web-based software with A-Scope, B-Scope, PPI, RCS estimation, CFAR, MTI, filters, window functions, and Doppler tools. Reads I/Q data and interfaces with MATLAB.

  • View multiple A-scopes, B-scopes, and PPI-scopes at various stages of the radar block diagram, enabling the comparison of the results and analysis of the results.

  • Modular for future upgrades by adding Modules like Air Traffic Control Modules to meet the requirements of ATCO (Air Traffic Controller) and ATSEP (Air Traffic Security Electronics Personal) curriculum.

  • NextGen 8 GHz Pulse Radar Training System

  • Technical Specifications

  • Range Resolution: better than 10.6 cm

  • Range: up to 30 m (when using the parabolic reflector)

  • Tx center frequency (ETSI / KCC): 7.29 GHz / 8.748 GHz

  • Tx bandwidth (ETSI): 1.4 GHz

  • Pulse Width: 0.5 nsec (Gaussian)

  • Peak Pulse output power (ETSI): -0.7 - 6.3 dBm

  • Max pulse repetition frequency. 90 Hz

  • Rx sampling rate: 23.3 GS/s

  • Rx gain (ETSI): 12.3 - 15 dB

  • Rx noise figure (ETSI): 5.4 - 8.8 dB

  • Rx noise figure (ETSI): 5.4 - 8.8 dB

  • Deliverables

  • - one (1) transceiver and antenna unit 8 GHz,
    - one (1) digital signal processing unit (DSP)
    - one (1) horn-shaped antenna with adjustable inclination
    - one (1) parabolic reflector with adjustable inclination
    - one (1) motor control unit (only activated when rotary unit is added)
    - one (1) cable set.

  • Target Positioning Module

  • In contrast to traditional target tables, the target is not spatially limited. The system is able to carry various radar targets that are connectable to the target system without the requirement of any tools. Different targets/materials representing various radar cross‐sections (RCS) are supplied with the Radar Training System, including a corner reflector (retro‐reflector) consisting of three mutually perpendicular, intersecting flat surfaces and two spheres. The device is able to rotate to rotate the reflectors representing various cross sections.

  • Deliverables

  • One (1) Wireless Mobile track vehicle, including batteries
    One (1) remote controller, including batteries
    Three (3) targets (01- Corner Reflector and 2 Spheres of different diameter )

  • Local Web-Server based Radar Control andData Analysis Software ( FreeScope )

    S. No. Feature / Requirement
    1 Modular Block Diagram Editor
    • Large libraries of Scopes, Filters and Algorithms.
    • Capable of joining each block independently and viewing signal on scopes.
    • Scope types: A-Scope, PPI Scope, B-Scope.
    • Teacher Control Centre: teacher login to control hardware parameters (e.g., motor rotation, transmitter power).
    2 Noise Threshold & Multi-View Comparison
    • Facility to change threshold to cut noise and small clutter.
    • Ability to select a specific section on the Y-axis.
    • View multiple A-Scope / PPI Scope / B-Scope at different stages to compare and analyze results.
    3 3-D Scope
    • 3D visualization where X–Y axis is A-Scope data and Z–Y axis is B-Scope data.
    • Interactive 3D plotting and basic rotation/zoom controls for analysis.
    4 Programming Interface & Data Integration
    • Read I and Q data from the pulse radar transceiver via a Programming Interface (Web API).
    • Capability to export or stream data for use in MATLAB for further processing.
    • Use JSON file format to feed data to MATLAB.

  • Algorithms & Filters

    S. No. Feature / Requirement
    5 Reflection Cleaning / Sensitivity Slider
    • Removes strong reflections from radar source.
    • Slider to vary clutter cleaning size (in meters).
    • Sensitivity adjustment control.
    6 Time Control
    • Facility to change exponent of amplification along the range.
    7 I–Q Splitter
    • Reads I–Q data as magnitude.
    • Allows filtering of I and/or Q signals.
    • Plots filtered and magnitude signals.
    8 Moving Target Identification
    • Facility to change the order defining which previous pulse to compare with the current pulse.
    9 CFAR (Constant False Alarm Rate) — 1D / 2D
    • Define probability of false alarm and detection.
    • Facility to change observation window size for noise-floor estimation.
    10 Spectrogram
    • Provides frequency representation of signal in log scale.
    11 Range Select
    • Facility to focus on a specific subset of the range.
    12 Windowing Techniques
    • Blackman
    • Hamming
    • Hann
    13 Fast Fourier Transform (FFT)
    • Captures data in time domain.
    • Displays signal in frequency domain.
    14 Row & Column Selector
    • Select a specific vector from a signal matrix for further processing.

    Air Traffic Control Module

    S. No. Feature / Requirement
    1 Surveillance Sensor Data Processing
    • Processes raw data from a surveillance sensor.
    • Must distinguish target data from:
      • Weather clutter
      • Ground clutter
      • Internal & external noise
      • Other objects
    2 Radar Tracks
    • Machine speed (for all tracks)
    • Track history (for all tracks)
    • Predict vector
    3 Labels
    • Aircraft label
    • Speed vector
    • Leader line
    • Track symbol
    • History dots
    4 Algorithms
    • iMM (Interactive Multiple Model)
    • Kalman Filter
    • Zero Velocity Filter
    • Clutter Map Subtraction
    • Signal Delay Block

  • Understanding the main components of a radar system

  • Familiarize yourself with the A-scope, B-scope & PPI scope of radar.

  • Measuring the Range Resolution of the Radar .

  • The Radar Equation.
    Showing the dependence of the transmitter power and the amplitude.
    Showing the dependence of the target’s distance (range) and the amplitude.  
    Showing the dependence of the antenna gain and the amplitude.

  • Radar Cross Section.

  • Showing the dependence of target size and the amplitude.
    Showing the dependence of the target angle and the amplitude.
    Showing the dependence of the target shape and the amplitude.  
    Showing the dependence of the target material and the amplitude

  • Sensitivity Time Control.

  • Constant False Alarm Rate (CFAR) 1D and 2D

  • Comparing static threshold and 1D and 2D CFAR  
    Cleaning the PPI Screen with CFAR.

  • Moving the Target Indication (MTI).

  • Raw I and Q Signals .

  • I and Q Signals in Radar Applications.
    Understanding the Relationship of Movement and IQ Signals.

  • Measuring the Antenna Beam Width.

  • Measure the beam antenna half-power beam width.

  • Introduction to the dB Scale.

  • Measure the half-power value in dB.

  • FFT and the Doppler Effect.

  • Generating plots and tracks as required as defined in ICAO DOC 4444.

  • Improve the traditional moving target indication MTI with an image-enhancing post processing

  • Conduct moving target detection MTD and understand the difference to MTI

  • Apply MTD with Doppler Filter and understand the difference to another movement analysis algorithms

  • Apply and analyze standing person recognition algorithms as required e.g. in autonomous mobility

  • Creating own complex filters for moving or standing targets

  • Improving or varying known composite algorithms

  • Improving the radar image by adding additional processing

With 35 years of legacy in Technical Education, Akademika  extends its expertise to Defence and Skill development, building Innovative, Reliable Training Systems for the next generation of Learners.

Partner with Akademika

Join leading institutions that trust our engineering to Advance Learning and Research.
Let’s Connect
Let’s Connect

Address

Unit No 128/129, Hema Industrial Estate, Sarvodaya Nagar,
Jogeshwari East, Mumbai, Maharashtra 400060
Tele +91 7447438443

Get Direction

Copyrights ©2025 AKADEMIKA, All rights Reserved.

Terms of Use | Privacy Policy | Credits | Disclaimer

LinkedIn WhatsApp YouTube