Scholarly record
SIGNAL DETECTION IN PARTIALLY COHERENT SAR
Abstract
One of the most pressing problems arising during the monitoring of the Earth's surface by space means of observation equipped with synthetic aperture radars is the task of increasing the efficiency of the observation means. A quantitative indicator of the named effectiveness is the probability of the correct detection of spatially distributed targets, as well as the signal-to-noise ratio. In a large number of practical situations, the coherent summation of pulses reflected from the target during the entire time of synthesis of the antenna aperture is not possible, due to phase fluctuations of the reflected signal caused by the instability of the generator, random deviations of the aircraft trajectory, random fluctuations of the reflected signals, etc. In this case, the coherent accumulation time can turn out to be significantly less than the total time of radar imaging, and coherent processing during the whole time of receiving the signal ceases to be optimal, which leads to a deterioration in detection efficiency compared to partially coherent SAR performing coherent accumulation during the coherence time followed by an incoherent summation of the obtained radar images [1,2]. With a limited length of the coherent accumulation session (synthesis session), the most rational means of increasing the detection efficiency is the use of partially coherent processing. In this case, it is assumed that the signal is coherent within a limited area with a subsequent incoherent summation of the accumulated signals. The indicated problem is solved in this paper, where the calculation formulas are obtained and their operability is demonstrated on several typical problems, indicating the requirements for the numerical ratio between the various parameters of the used system.
Publication Impact Profile
- Captures
- Mendeley - Readers: 1
Publication details
References10
Dorosinsky L.G., The research of the distributed objects' radar image recognition algorithms, 23rd International Crimean Conference Microwave and Telecommunication Technology, CriMiCo 2013, Ukraine, pp 1216-1217, 2013;
Timoshenko S.I., Using the mixed family of Pirson and Johnson distributions for probabilistic characteristics calculation, Internet journal " Science studies ", Russia, vol. 9, pp 155-156, 2017 (in Russian);
Sosnovsky A.V., Kobernichenko V.G., Phase Noise Suppression Efficiency for InSAR Interferograms, USBEREIT Proceedings 2019, Russia, pp 466-468, 2019;
Bakut P.A. Bolshakov I.A. Tartakovsky G.P., The questions of the statistical radar theory, PH, Russia, 424 p, 1963 (in Russuan);
Sahoo P.K., Soltani S., Wong A.K.S., Cher Y.C., A surweg thresholding techniques, Computer Vision, Graphics and Image Processing, V.41, №2, USA, pp 233-260, 1988;
Fukunaga K., Introduction to statistical pattern recognition. 2nd Edition, Academic Press, USA, 592 p, 2013;
Yang D., Yang X., Liao G., Zhu S., Strong Clutter Suppression via RPCA in Multichannel SAR/GMTI System, IEEE Geoscience and Remote Sensing Letters, V.12, №12, India, pp 2237-2241, 2015;
Van Trees H.L., Bell K.L., Tian Z., Detection, Estimation, and Modulation Theory, Part I: Detection, Estimation, and Linear Modulation Theory, New York: John Wiley & Sons, USA, 1176 p, 2013;
Bolshakov I.A., Statistical problems of isolating signal flow from noise, Soviet radio, Russia, 464 p, 1969 (in Russian);
Gorelik A.L., Skripkin V.A., Recognition methods, Moscow: High school, Russia, 208 p, 1984. (in Russian).
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.