## Radar detection |

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### Contents

INTRODUCTION TO RADAR | 3 |

MATHEMATICAL DESCRIPTION OF SIGNAL | 41 |

6 HighFrequency Sampling Theorem | 61 |

Copyright | |

17 other sections not shown

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### Common terms and phrases

amplitude antenna approximately assumed autocorrelation function band-limited bandwidth Bayes calculated Chapter characteristic function coefficients coherent colored noise comb filter complex envelope computed corresponds cross section decision rule defined denoted doppler envelope detector evaluated exactly known signal false-alarm probability fluctuating target follows Fourier transform frequency Gaussian noise Gaussian random variables Hence hypothesis impulse response incoherent input inverse joint probability density likelihood ratio linear matched filter maximum narrowband nonfluctuating observation interval obtained optimum filter optimum receiver parameters peak signal-to-noise ratio performance plotted posteriori priori probability probability density function probability of detection problem pulse train radar cross section radar equation random process range Rayleigh received waveform rectangular replaced resolution cell respect rewritten scan shown in Fig signal absent signal of unknown signal present solution stationary statistically independent strategy Substituting Eq sufficient statistic Swerling threshold variance waveform yields zero