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Noise radar

At the receiver the cross-correlation function between the transmitted and the received signal is calculated by [Pg.227]

The optimal (in the mean-square sense) detector is based on the matched filter concept. The output of the filter matched to the signal echo described by Equation (23) can be calculated as an integral in the form [Pg.229]

The single matched filter can be used only when the target s position and velocity are known. To detect a target at an unknown position, it is necessary to utilize a bank of filters matched to all possible target ranges and velocities. This approach leads directly to the range-Doppler correlation function, described by the formula [Pg.229]

The above equation is very similar to the cross-ambiguity function, but here the time-delay is introduced only in the transmitted signal. This form of the transform is more convenient for digital implementation and will be referred to below as a range-Doppler correlation function. [Pg.229]


Keywords continuous wave radar linear frequency modulation noise radar noise ... [Pg.215]

The detection process in noise radar is based on a correlation process [11]. The correlation-based radar diagram is presented in Figure 3. [Pg.227]

Figure 3. The structure of correlation-based noise radar... Figure 3. The structure of correlation-based noise radar...
Assuming that the maximum target velocity is equal to 3M (lOOOm/s), the maximum value of the time-bandwidth product is limited to 150,000. The maximum processing gain is then equal to 51.7 dB. The use of a windowing function will decrease this value by a few dB. The maximum detection range for the noise radar is given by the formula... [Pg.231]

R.M. Naryanan et al., Design and performance of a polarimetric random noise radar for detection of shallow buried targets , Proc. SPIE Meeting on Detection Techn. Mines, Orlando, April 1995, vol. 2496, pp. 20-30. [Pg.239]

Y. Xu, R. M. Narayanan, X. Xu, and J. O. Curtis, Polarimetric processing of coherent random noise radar data for buried object detection , IEEE Trans. Geosci. Remote Sensing, vol. 39, no. 3, pp. 467-478, Mar. 2001. [Pg.239]

R. M. Narayanan and M. Dawood, Doppler estimation using a coherent ultra wide-band random noise radar , IEEE Trans. Antennas Propagat., vol. 48, pp. 868-878, June 2000. [Pg.239]

S. R. J. Axelsson, Noise radar using random phase and frequency modulation , Proc. of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2003, Volume 7, 21-25 July 2003, pp. 4226-4231. [Pg.241]

K.S. Kulpa, Z. Czekala, Ground Clutter Suppression in Noise Radar , Proc. Int. Conf. RADAR 2004, 18-22 October2004, Toulouse, France, p. 236. [Pg.241]

K. Kulpa, Z. Czekala, Short Distance Clutter Masking Effects in Noise Radars , Proceedings of the International Conference on the Noise Radar Technology. Kharkiv, Ukraine, 21-23 October 2003. [Pg.241]

K. Kulpa, Z. Czekala, M. Smolarczyk, Long-Time-Integration Surveillance Noise Radar , First International Workshop On The Noise Radar Technology (NRTW 2002), Yalta, Crimea, Ukraine, September 18-20, 2002, pp. 238-243. [Pg.241]


See other pages where Noise radar is mentioned: [Pg.215]    [Pg.219]    [Pg.219]    [Pg.226]    [Pg.226]    [Pg.226]    [Pg.230]    [Pg.230]    [Pg.239]    [Pg.239]    [Pg.240]    [Pg.240]    [Pg.240]    [Pg.240]    [Pg.240]   
See also in sourсe #XX -- [ Pg.215 ]




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