Detection, Range and Doppler Estimation

Target detection, target tracking, CFAR, range and Doppler estimation, ROC curves, radar equation, sonar equation

Detection is an important part of a radar or sonar system. To improve detection capabilities, the Phased Array System Toolbox™ includes System objects for performing matched filtering and stretch-processing pulse compression, coherent and noncoherent pulse integration, range and Doppler estimation and constant false alarm rate (CFAR) detection for one or two dimensions. Utility functions let you compute and visualize receiver operating characteristic (ROC) curves for various signal-to-noise ratio (SNR) levels or probabilities of false alarm. You can plot radar coverage using Blake charts. Many function support both radar and sonar systems. You can determine the maximum target detection range using the radar equation or sonar equation.

Highlighted Topics
  • Detection
    Target detection, target tracking, CFAR, 2-D CFAR, ROC curves, radar equation, sonar equation
  • Range and Doppler Estimation
    Range and Doppler estimation, range-Doppler and range-angle processing, and FMCW range estimation, detection clustering
  • Visualization
    Visualize data using RTI and DTI displays

Featured Examples

Compute Peak Power Using Radar Equation Calculator App

Compute Peak Power Using Radar Equation Calculator App

The radarEquationCalculator App lets you determine key radar characteristics such as detection range, required peak transmit power, and SNR. The App works for monostatic and bistatic radars.

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Constant False Alarm Rate (CFAR) Detection

Constant False Alarm Rate (CFAR) Detection

Introduces constant false alarm rate (CFAR) detection and shows how to use CFARDetector and CFARDetector2D in the Phased Array System Toolbox™ to perform cell averaging CFAR detection.

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Detector Performance Analysis Using ROC Curves

Detector Performance Analysis Using ROC Curves

Assess the performance of both coherent and noncoherent systems using receiver operating characteristic (ROC) curves. It assumes the detector operates in an additive complex white Gaussian noise environment.

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Display Vertical Coverage Diagram

Display Vertical Coverage Diagram

Display the vertical coverage diagram of an antenna transmitting at 100 MHz and placed 20 meters above the ground. Set the free-space range to 100 km. Use default plotting parameters.

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Doppler Estimation

Doppler Estimation

A monostatic pulse radar detecting the radial velocity of moving targets at specific ranges. The speed is derived from the Doppler shift caused by the moving targets. We first identify the existence of a target at a given range and then use Doppler processing to determine the radial velocity of the target at that range.

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Introduction to Micro-Doppler Effects

Introduction to Micro-Doppler Effects

Introduces the basic concept of a micro-Doppler effect in the radar return of a target due to the rotation of that target. You can use the micro-Doppler signature to help identify the target.

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Range Estimation Using Stretch Processing

Range Estimation Using Stretch Processing

Estimate the range of a target using stretch processing in a radar system that uses a linear FM pulse waveform.

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Signal Detection in White Gaussian Noise

Signal Detection in White Gaussian Noise

Discusses the detection of a deterministic signal in complex, white, Gaussian noise. This situation is frequently encountered in radar, sonar and communication applications.

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Signal Detection Using Multiple Samples

Signal Detection Using Multiple Samples

Detect a signal in complex, white Gaussian noise using multiple received signal samples. A matched filter is used to take advantage of the processing gain.

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Phased Array System Toolbox Documentation

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