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38篇 您的检索式:作者名="Cherniakov"
    题名 作者 年代 出处 被引量
1Ground moving target signal model and power calculation in forward scattering micro radar显示文摘Forward scattering micro radar is used for situation awareness;its operational range is relatively short because of the battery power and local horizon,the free space propagation model is not appropriate. The ground moving targets,such as humans,cars and tanks,have only comparable size with the transmitted signal wavelength;the point target model and the linear change of observation angle are not applicable. In this paper,the signal model of ground moving target is developed based on the case of forward scattering micro radar,considering the two-ray propagation model and area target model,and nonlinear change of observation angle as well as high order phase error. Furthermore,the analytical form of the received power from moving target has been obtained. Using the simulated forward scattering radar cross section,the received power of theoretical calculation is near to that of measured data. In addition,the simulated signal model of ground moving target is perfectly matched with the experimented data. All these results show the correctness of analytical calculation completely.LONG Teng HU Cheng MIKHAIL Cherniakov 2009Science in China(Series F)2009,52,9:12
2Space-surface bistatic synthetic aperture radar with navigation satellite transmissions: a review显示文摘This paper reviews the theory and practice of Space-Surface Bistatic Synthetic Aperture Radar(SS-BSAR) using navigation satellites as transmitters. In recent years, this innovative technology has reached a maturity stage which allows it to be considered for a wide range of applications. The paper covers the fundamental aspects of this technology as a radar system, such as the resolution, power budget and Point Spread Function(PSF) analysis, as well as its signal processing aspects and the state of the art in terms of advanced SAR techniques that it enables. Finally, the theoretical aspects of the paper may be directly transferred to the more generic SS-BSAR concept.ANTONIOU Michail CHERNIAKOV Mikhail MA Hui 2015Science China(Information Sciences)2015,58,6:6
3Pre-processing for time domain image formation in SS-BSAR system显示文摘A pre-processing procedure is designed for a space-surface bistatic synthetic aperture radar (SS-BSAR) system when a time domain image formation algorithm is employed. Three crucial technical issues relating to the procedure are fully discussed. Firstly, unlike image formation algorithms operating in the frequency domain, a time domain algorithm requires the accurate global navigation satellite system (GNSS) time and position. This paper proposes acquisition of this information using a time-and-spatial transfer with precise ephemeris and interpolation. Secondly, synchronization errors and compensation methods in SS-BSAR are analyzed. Finally, taking the non-ideal factors in the echo and the compatibility of image formation algorithms into account, a matched filter based on the minimum delay is constructed. Experimental result using real data suggest the pre-processing is functioning properly.Michail Antoniou Mikhail Cherniakov 2012Journal of Systems Engineering and Electronics2012,23,6:2
4Passive GNSS-based SAR imaging and opportunities using Galileo E5 signals显示文摘This paper investigates the feasibility of Galileo navigation satellites as transmitters of opportunity in passive bistatic synthetic aperture radar(SAR) systems from the perspectives of signal processing and experiment program. Experimental images obtained using a single Galileo channel, E5 a or E5 b, are presented and analyzed. The paper also puts forward the channel combination scheme to jointly process E5 a and E5 b channels, which brings up high-resolution possibilities for passive SAR technique. By employing the entire E5 band for imaging, the range resolution may be potentially increased by up to 5 times. Preliminary experimental results for this concept are demonstrated.MA Hui ANTONIOU Michail CHERNIAKOV Mikhail 2015Science China(Information Sciences)2015,58,6:2
5DTV signal ambiguity function analysis for radar application显示文摘SAINI R CHERNIAKOV M 2005IEE Proc-Radar Sonar Navig2005,152,3:1
6Generalized approach to resolution analysis in BiSAR显示文摘Zeng Tao Cherniakov Mikhail Long Teng 2005IEEE Trans on Aerospace and Electronic Systems2005,41,2:1
7DTV signal ambiguity function analysis for radar application显示文摘Saini R Cherniakov M 2005IEE Proc of Radar Sonar Navig2005,152,3:1
8Frequency band selection of ra- dars for buried object detection 显示文摘Cherniakov M Donskoi L 1999IEEE Transactions on Geoscience and Remote Sensing1999,37,2:1
9Generalized approach to resolution analysis in BSAR显示文摘ZENG Tao CHERNIAKOV M LONG Teng 2005IEEE Transactions on Aerospace and Electronic Systems2005,41,2:1
10DTV signal ambiguity function analysis for radar application显示文摘Saini R and Cherniakov M 2005IEE Procedings Radar Sonar Navigation2005,152,3:1
11Generalized approach to resolution analysis in BSAR显示文摘Zeng T Cherniakov M and Long T 2005IEEE Transactions on Aerospace and Electronic Systems2005,41,2:1
12DTV Signal Ambiguity Function Analysis for Radar Application显示文摘Saini R Cherniakov M 2005IEE Proceedings on Radar Sonar Navigation2005,152,3:1
13GNSS-based BiSAR imaging using modified range migration algorithm显示文摘This paper proposed a new focusing approach for the bistatic SAR systems with a GNSS(Global Navigation Satellite System) satellite as the transmitter. Because of the long integration time the inherited curvature of the transmitter's trajectory was adopted and the spatial variance of the equivalent velocity was derived under the principal of equivalent slant range model in the system signal model. The proposed focusing approach consists of two-step processing. Firstly, the general Doppler phase from constant velocity of the echo data is focused by modified Stolt mapping. Secondly, the residual nonlinear Doppler phase due to velocity variation is compensated by means of block-processing-based adaptive phase compensation to achieve large scene focusing. The simulation and experimental results validate the proposed algorithm in GNSS-based Bi SAR systems.ZENG Tao LIU FeiFeng ANTONIOU Michail CHERNIAKOV Mikhail 2015Science China(Information Sciences)2015,58,8:1
14Space-surface bistatic SAR image formation algorithms显示文摘ANTONIOU M CHERNIAKOV M HU C 2009IEEE Trans- actions on Geoscience and Remote Sensing2009,47,6:1
15Air target detection via bistatic radar based on LEOS communication signals显示文摘Cherniakov M Nezlin D Kubik K 2002IEE Proceeding of Radar Sonar and Navigation2002,149,1:1
16DTV signal ambiguity function analysis for radar application显示文摘Saini R Cherniakov M 0,,03:1
17Results of a space-surface bistatic SAR image formation algorithm显示文摘Antoniou M Saini R and Cherniakov M 2007IEEE Transactions on Geoseience and Remote Sensing2007,45,11:1
18DTV Signal Ambiguity Func tion Analysis for Radar Application显示文摘Saini R Cherniakov M 2005IEE Proceed ings-Radar Sonar and Navigation2005,152,3:1
19Space-Surface Bistatic Synthetic Aperture Radar with Global Navigation Satellite System Transmitter of Opportunity-Experimental Results显示文摘Cherniakov M Saini R Zuo R 2007IET Proceeding of Radar Sonar & Navigation2007,1,6:1
20DTV signal ambiguity function analysis for radar application显示文摘Saini R Cherniakov M 2005IEE Proceedings on Radar Sonar & Navigation2005,152,3:1
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