Target detection, CFAR, CFAR 2D, ROC curves, radar
equation

The Phased Array System Toolbox™ includes System objects and Simulink^{®} blocks
for performing matched filtering, constant false alarm rate (CFAR)
detection in one or two dimensions, stretch-processing pulse compression
and coherent and noncoherent pulse integration. 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. Some utilities let determine the maximum target detection
range. Others let you visualize radar coverage using Blake charts.

`phased.CFARDetector` |
Constant false alarm rate (CFAR) detector |

`phased.CFARDetector2D` |
Two-dimensional CFAR detector |

`phased.MatchedFilter` |
Matched filter |

`phased.StretchProcessor` |
Stretch processor for linear FM waveform |

`phased.TimeVaryingGain` |
Time varying gain control |

CFAR Detector | Constant false alarm rate (CFAR) detector |

2-D CFAR Detector | Two-dimensional constant false alarm rate (CFAR) detector |

Stretch Processor | Stretch processor for linear FM waveforms |

Time Varying Gain | Time varying gain (TVG) control |

Pulse Integrator | Coherent or noncoherent pulse integration |

Dechirp Mixer | Dechirping operation on input signal |

Matched Filter | Matched filter |

`albersheim` |
Required SNR using Albersheim's equation |

`dechirp` |
Perform dechirp operation on FMCW signal |

`npwgnthresh` |
Detection SNR threshold for signal in white Gaussian noise |

`pulsint` |
Pulse integration |

`rocpfa` |
Receiver operating characteristic curves by false-alarm probability |

`rocsnr` |
Receiver operating characteristic curves by SNR |

`shnidman` |
Required SNR using Shnidman's equation |

`blakechart` |
Range-angle-height (Blake) chart |

`physconst` |
Physical constants |

`radareqpow` |
Peak power estimate from radar equation |

`radareqrng` |
Maximum theoretical range estimate |

`radareqsnr` |
SNR estimate from radar equation |

`radarvcd` |
Vertical coverage diagram |

Radar Equation Calculator | Estimate maximum range, peak power, and SNR of a radar system |

**Neyman-Pearson Hypothesis Testing**

In phased-array applications, you sometimes need to decide between two competing hypotheses to determine the reality underlying the data the array receives.

**Receiver Operating Characteristics**

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

This example shows how to generate a receiver operating characteristic (ROC) curve of a radar system using a Monte-Carlo simulation.

Matched filtering increases SNR and improves detection.

Stretch processing, deramp, dechirp

FMCW dechirp

Range-Doppler processing and range-Doppler maps

**Constant False-Alarm Rate (CFAR) Detectors**

CFAR detectors apply the Neyman-Pearson criterion to target detection. The detectors estimate noise statistics from data.

This section provides an introduction to the end-to-end radar simulation.

The basic toolbox workflow is applied to a monostatic radar system consisting of a single antenna.

Radar equation for peak power, range, and SNR in monostatic and bistatic configurations

This section introduces the concept of baseband signals and defines the local and global coordinate systems used in the toolbox.

**Units of Measure and Physical Constants**

Phased Array System Toolbox uses the International System of Units.

Defines System objects and key uses

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