“…This case corresponds to the point P in Fig.2. After expanding the function (8) into a Taylor series in the neighborhood of the point P we get: Factor (W W 0 ) ='W, according to (9), depends on position variations of the object. So, the parametrization of the function (11) can be made in the following form:…”
Section: Static Characteristics Of the Movement Detectormentioning
confidence: 99%
“…A correlator receiver is a typical element entering into the noise radar. Its fundamental parameters are the following: broad signal band, low power density, and the capability to ensure high responsivity of the receiving devices using non-conventional methods [7,8,9,10,11,12,13]. Coherent reception needs delay lines of constant or variable parameters to be applied in the receiving systems.…”
The analysis of the autocorrelation function of a noise signal in a limited band of a microwave frequency range is described in the paper. On the basis of this analysis the static characteristic of the detector for object movement was found. The measurement results for the correlation function of noise signals are shown and the application of such solution in a noise radar for the precise determination of distance variations and the velocity of these changes is presented in the paper. The construction, working principle and measurement results for through-thewall noise radar demonstrator have been presented in the paper. A broadband noise signal in microwave S frequency band has been chosen, for high sensitivity getting. The broadband noise signal together with correlation receiver provides high sensitivity and moderate range for low transmitted power level. The experimental results obtained from 2.6-3.6 GHz noise-like waveform for the signal of a breathing human are presented. Conclusions and future plans for application of the presented detection technique in broadband noise radars conclude the paper.
“…This case corresponds to the point P in Fig.2. After expanding the function (8) into a Taylor series in the neighborhood of the point P we get: Factor (W W 0 ) ='W, according to (9), depends on position variations of the object. So, the parametrization of the function (11) can be made in the following form:…”
Section: Static Characteristics Of the Movement Detectormentioning
confidence: 99%
“…A correlator receiver is a typical element entering into the noise radar. Its fundamental parameters are the following: broad signal band, low power density, and the capability to ensure high responsivity of the receiving devices using non-conventional methods [7,8,9,10,11,12,13]. Coherent reception needs delay lines of constant or variable parameters to be applied in the receiving systems.…”
The analysis of the autocorrelation function of a noise signal in a limited band of a microwave frequency range is described in the paper. On the basis of this analysis the static characteristic of the detector for object movement was found. The measurement results for the correlation function of noise signals are shown and the application of such solution in a noise radar for the precise determination of distance variations and the velocity of these changes is presented in the paper. The construction, working principle and measurement results for through-thewall noise radar demonstrator have been presented in the paper. A broadband noise signal in microwave S frequency band has been chosen, for high sensitivity getting. The broadband noise signal together with correlation receiver provides high sensitivity and moderate range for low transmitted power level. The experimental results obtained from 2.6-3.6 GHz noise-like waveform for the signal of a breathing human are presented. Conclusions and future plans for application of the presented detection technique in broadband noise radars conclude the paper.
“…The location of each point target is given by (3,4), (5,4), (3,9), (5,9), (3,13) and (5,13). A first-order scattering model between these 6 targets is used, which results in a total of 30 multipath returns.…”
Section: Simulationmentioning
confidence: 99%
“…systems have drawn huge amount of attention to give high resolution images of the interested scene surrounding the vehicular platform which utilizes economic electronic and hardware equipment with narrow bandwidth of frequencies [1][2][3][4][5][6]. For example, automatic unmanned vehicle requires reliable cognitive imaging system to map the nearby man-made structures, such as walls, bridges or buildings; several ground penetrating radar (GPR) systems also employ the synthetic aperture idea to enhance the detection performance of underground objects [7,8].…”
“…Noise radar is a radar that uses noise, noise-like, random or chaotic waveform as the transmitted signal and uses correlation processing of radar returns for target detection [1], [2], [3], [4], [5], [6], [7], [8]. The interest of such type of radars can be found mainly in military applications.…”
In the paper bistatic noise radar is considered. The concept of such a radar is verified with a demonstrator. The demonstrator consists of physically separated transmitter and receiver, therefore a bistatic geometry is created. Reference signal used for correlation processing is generated locally in the receiver. Coarse synchronization in time and frequency between the transmitter and receiver is provided by GPS (Global Positioning System) satellite navigation. Fine time synchronization is carried out using the direct path interference signal. Apart from range and velocity measurements, bearing is also estimated using phaseinterferometry technique. The demonstrator has been tested and verified during a field measurement campaign. In the paper the results of synchronization, detection, localization and tracking of a moving target are presented.
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