NOISE AND SIGNAL FOR RESCUERS RADAR

Abstract

The adequate models of information signals and noise have been developed to solve the actual problem of the synthesis of hardware and software for operative detection of affected peop-le in man-made or natural disasters. It is shown that at low frequencies, where are placed the spectral components of the information signal generated by breathing and heartbeat, an adequate model of the fluctuation noise is a flicker noise model built on the basis of recurrent equations of Perron-Frobenius operator. The spectral characteristics of the information signal and noise are investigated. The information signal model is built on the theory of periodically correlated random processes and verified on experimental data. A signal processing algorithm has been proposed. The algorithm is based on a process of cross-sampling summing. A criterion to assess the duration of the period of the signal is proposed. The criterion is a function of the signal dispersion from the lattice function period. The ergodic property of the process on an equidistant grid is theoretically proved and experimentally confirmed. The optimal estimate of period duration is an argument of the global maximum of the polymodal criterion function. The simulation results are confirmed by the experimental data.

Keywords

• algorithm
• criterion
• cross-sampling summing
• ergodic process
• flicker-noise
• perronfrobenius ope-rator
• radar