Principles of Radar and Sonar Signal ProcessingThis work covers the latest technologies in conventional and adaptive signal processing theory, and covers techniques for detailed analysis of physical signatures of targets and clutter. Examples of signatres offer greater insight into classification problems. A discussion on low frequency systems, wideband radars, and STAP (space-time adaptive processing) provides practitioners with a better awareness of physical limits and future developments. |
Contents
| 1 | |
2 Optimum Reception in White Noise 13 | 13 |
3 Application to Radar 39 | 39 |
4 Optimum Reception in Colored Noise 107 | 107 |
5 Adaptive Processing 133 | 133 |
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Common terms and phrases
accuracy adaptive aircraft algorithm ambiguity function amplitude angular angular resolution antenna array aspect angle assumed attenuation autocorrelation backscattering band bandwidth beamforming calculated Chapter characteristics clutter returns coefficient colored noise complex consists correlation matrix defined density described detection diffraction direction Doppler analysis Doppler effect Doppler shift Doppler-range duration echoes equation estimation example filter Fourier transform Gaussian given impulse response jammer maximum likelihood measurement metric band modulation noise-only reference observation obtained optimum processing optimum receiver output parameters phase shift polarization procedure propagation pulse train radar and sonar radar or sonar range gate range resolution received signal repetition frequency replica result samples scatterers Section sensors shown in Figure sidelobes signal processing signal-to-noise ratio signals received situation ſº spectral spectral density spectrum subtraction surface taking into account target tion transmitted signal vector velocity wave wavelength white noise whitening