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.

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

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.

Use pulse compression to improve detection and range and Doppler estimation.

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

Receiver operating characteristic (ROC) curves describe a detector’s performance by relating probability of false alarm to probability of detection.

Generate an ROC curve using a Monte-Carlo simulation.

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

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.