{"title":"A novel mathematical approach for the problem of CFAR clutter model approximation","authors":"G. Marino, E. Hughes","doi":"10.1109/MRRS.2011.6053667","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053667","url":null,"abstract":"Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) is a set of techniques which are able to detect, discriminate and classify objects present in the observed scene. Unfortunately the presence of speckle degrades target detection dramatically therefore denoising algorithms are necessary. Moreover sometimes other operations, such as incoherent averaging for instance, are used to increase the Constant False Alarm (CFAR) performance. Any operation as a consequence changes the background clutter model and often it is not possible to describe it in a closed and manageable mathematical form, therefore a direct solution of the Neyman-Pearson problem is not feasible and a suboptimal criterion, such as Exponential or Gamma-distribution clutter model etc., is usually adopted. A consequence of the suboptimal global clutter model choice is the reduction of the information content of the SAR images which can affect classifier performance heavily. This paper hence is concerned with a novel mathematical approach for a local approximation of the filtered SAR image Cumulative Density Function (CDF) in order to preserve/maximize the information content carried by a SAR/ATR system.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117121724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Bezvesilniy, I. Gorovyi, V. Vynogradov, D. Vavriv
{"title":"Range-Doppler algorithm with extended number of looks","authors":"O. Bezvesilniy, I. Gorovyi, V. Vynogradov, D. Vavriv","doi":"10.1109/MRRS.2011.6053635","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053635","url":null,"abstract":"Instabilities of the antenna beam orientation lead to radiometric errors in SAR images. This is one of the most difficult problems for the application of the range-Doppler algorithm, which implies a straight-line flight with a constant orientation. In the paper, we propose a radiometric correction approach for compensation of such instabilities.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130159696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ground moving target classification by using DCT coefficients extracted from micro-Doppler radar signatures and artificial neuron network","authors":"P. Molchanov, J. Astola, K. Egiazarian, A. Totsky","doi":"10.1109/MRRS.2011.6053628","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053628","url":null,"abstract":"A novel approach to ground moving targets classification by using information features contained in micro-Doppler radar signatures is presented. Suggested approach is based on using discrete cosine transform (DCT) coefficients extracted from radar signature as a classification feature and multilayer perceptron (MLP) as a classifier. Proposed pattern classification algorithm was tested by utilizing experimental data measurements performed by ground surveillance Doppler radar system for four radar target classes as single moving human, groups of two and three moving persons and vegetation clutter. Suggested approach provides the probability of classification equal to 86%","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130862037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Signal processing for DDV estimation","authors":"D. Glushko, F. Yanovsky","doi":"10.1109/MRRS.2011.6053645","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053645","url":null,"abstract":"In this paper we consider the signal processing algorithms for Differential Doppler Velocity (DDV) estimation using limited samples of radar signal, reflected from meteorological distribution object like rain and cloud.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116229443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Boev, O. Matveyev, D. Bychkov, V. Yefimov, V. Tsymbal, A. Boeva
{"title":"Radar detection of seismic origin waves on the Black Sea surface","authors":"A. Boev, O. Matveyev, D. Bychkov, V. Yefimov, V. Tsymbal, A. Boeva","doi":"10.1109/MRRS.2011.6053621","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053621","url":null,"abstract":"The possibility for reliable radar detection of the sea seismic wave with very small amplitude in initial stage of its development is shown. Using \"Sich-1\" radar satellite data the parameters of seismic sea waves in the area of weak earthquakes near the Turkish Black Sea coast is evaluated.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124978407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Khaikin, V. Radzikhovsky, S. Kuzmin, K. Zemlyakov, I. Vendik
{"title":"Radiometric modules at 22 and 36 GHz for continuous monitoring of atmospheric opacity at RATAN-600 radio telescope","authors":"V. Khaikin, V. Radzikhovsky, S. Kuzmin, K. Zemlyakov, I. Vendik","doi":"10.1109/MRRS.2011.6053655","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053655","url":null,"abstract":"Continuous monitoring of atmospheric opacity at 22 GHz and 36 GHz, ground meteorological parameters and atmosphere models allow separating absorption in water vapor, oxygen and hydrometeors and predicting atmospheric opacity at RATAN-600 radio telescope in wide band. Design, features and parameters of radiometric modules at 22 and 36 GHz for effective continuous monitoring of atmospheric opacity are described.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"73 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113999694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of back wall smoothing and multisource feeding effects for H-plane horn radiator","authors":"O. Yurduseven, O. Yurduseven","doi":"10.1109/MRRS.2011.6053608","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053608","url":null,"abstract":"This paper presents the radiation characteristics of a two-dimensional (2D) horn antenna structure for different multi-source feeding and back wall smoothing variations which are investigated parametrically. In order to get accurate and stable far-field results of the horn antenna in a fast way compare to the other 3D full-wave electromagnetic simulation programs available in the market, an attention grabbing method, which is known as Analytical Regularization Method (ARM), is used. The simulation results of the horn antenna structure, based on the principle of solving the 2D E-polarized wave diffraction problem for homogeneous and perfectly conductive cylindrical obstacles, are justified by performing verifications by using commercially available 3D simulation programs, and obtained results are given in the figures.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"476 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133819286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Circular multiuser beam-free phased array antenna for wireless communications and comparison with the standard multisector antennas","authors":"I. Sergeev","doi":"10.1109/MRRS.2011.6053610","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053610","url":null,"abstract":"A multiuser beam-free circular adaptive active array is considered. Such antennas can be used instead of standard multisector antennas. The multiuser beam-free method implies that coverage area is not divided into cells with different frequencies. Instead, all the users can use all the frequencies and active array selects signals by their position. The comparison of the standard multisector antennas with the beam-free array consisting of the same number of elements shows that the capacity (number of users operating on the same frequency) increases up to 2 times as against 6-sector antenna and 3 times as against 3-sector. Also the beam-free antenna is easily flexible. To increase the capacity it is just sufficient to add antenna elements without construction changing.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121285560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Underground object detection based on cross correlation and Hough transform","authors":"Jian Wang, Yi Su","doi":"10.1109/MRRS.2011.6053674","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053674","url":null,"abstract":"GPR object detection is always a challenge in most practical applications. The hyperbola feature in B-Scan data is a very important feature for GPR object detection. In this paper, a novel method based on cross correlation between adjacent A-scans is proposed to detect reflection hyperbola. The method includes four steps. B-scan data is firstly preprocessed to suppress clutters. Then, the reflection hyperbola is extracted based on cross correlation. An approach of feedback is presented to fit the extracted hyperbola. At last, Hough transform is adopted to determine whether there is an object or not. The proposed method is tested by both simulated and field data.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ISAR motion parameter estimation via multilateration","authors":"Stefan Brisken, J. Worms","doi":"10.1109/MRRS.2011.6053632","DOIUrl":"https://doi.org/10.1109/MRRS.2011.6053632","url":null,"abstract":"One of the main difficulties in Inverse Synthetic Aperture Radar imagery of a maneuvering target is the estimation of its motion parameters from the radar data. In this paper we show how the geometric features of a multistatic radar system can be used to obtain both translational and rotational motion with a multilateration approach. While many monostatic approaches in open literature attempt to estimate parameters for a pre-assumed form of motion, our approach aims to be as general as possible. Capabilities and limitations for several implementation techniques of the multilateration method are examined and illustrated in simulations.","PeriodicalId":424165,"journal":{"name":"2011 MICROWAVES, RADAR AND REMOTE SENSING SYMPOSIUM","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133626511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}