{"title":"Application of STAP For Detection of Target In The Presence of Ground Clutter","authors":"A. Shrivastava, B. K. Sarkar","doi":"10.1109/IRS.2006.4338137","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338137","url":null,"abstract":"For Airborne radars it is necessary to suppress the levels of the interferers well below the weak desired signal. The problem is complicated due to the motion of the radar platform as the ground clutter received by airbornne radar is spread out in range, angle and over Doppler. Space-Time adaptive processing (STAP) is a technique, which helps to detect small signal of interest in such a noisy environment. This paper considers a generic clutter model. The simulations clearly bring out the 2-D nature of ground clutter and give an insight into the noisy environment in which the target is detected.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122359860","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}
S. Bayat, M. Emadi, M. Mousavi, A. Jafargholi, M. Nayebi
{"title":"Fast and High-Resolution PCL Radar Detection in Noisy Environment","authors":"S. Bayat, M. Emadi, M. Mousavi, A. Jafargholi, M. Nayebi","doi":"10.1109/IRS.2006.4338046","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338046","url":null,"abstract":"Multiple target detection in conventional PCL (Passive Coherent Location) radar systems by means of Ambiguity Function Processing and without any powerful algorithm is impossible. Presented Gradual Clean Algorithm (GCA) is a new and simple method, which could provide the perfect detection in noisy environment and heavy clutter condition up to SNR=-15 dB and SCR=-100 dB (clutter is assumed as a distributed target with large RCS). Determining the number of real targets and keeping the false alarm probability approximately constant are the presented algorithm capabilities.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133625259","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":"A Classifying Algorithm for Radar Signals Using the Wigner-Ville Distribution and the RBF Probability Density Function Estimator","authors":"Y. Grishin, K. Konopko","doi":"10.1109/IRS.2006.4338031","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338031","url":null,"abstract":"A radar signal recognition can be accomplished by exploiting the particular features of modulation presented in a radar signal observed in presence of noise. These modulation features are the result of slight radar component variations and acts as an individual signature of a radar. The paper describes a radar signal classification algorithm based on using the Wigner-Ville Distribution (WVD), noise reduction procedure with using a two-dimensional filter and the RBF neural network probability density function estimator which extracts the features vector used for the final radar signal classification. The numerical simulation results for the P4-coded signals are presented.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131788665","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":"Rain Clutter Filtering from Radar Data with Discrete Wavelet Transform","authors":"I. Ellonen, A. Kaarna","doi":"10.1109/IRS.2006.4338033","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338033","url":null,"abstract":"Moving weather systems will have a nonzero Doppler response at rate at which the rain droplets are approaching the radar system. The complete data the radar collects contain the returns of both the target and the clutter. The signal processing block in a radar system uses filtering operations to extract the target information while suppressing the clutter. Typically the filters are designed based on Doppler Frequency using a Fourier filter bank. Instead of the frequency domain, the wavelet analysis allows the time-scale domain in processing. The filter bank in this study utilizes Discrete Wavelet Transform (DWT), DWT coefficients represent the results of a multi-resolution analysis of the radar signal. We study the operation of a DWT filter bank and a Fourier filter bank (FFT). Our experiments indicate that the Fourier filter bank filter the rain clutter very well. However, a DWT filter bank has different time resolution for different frequency ranges. With very heavy rain clutter affecting to the target signatures, our experiments indicate that the wavelet filter bank performs better than the Fourier filter bank. The experiments were performed in MATLAB environment and data is real radar rain clutter data from Finnish Air Force medium range air surveillance radar (low PRF). The objectives of this study were to develop a DWT based filtering system and to test it's operation in one situation of rain clutter and then to compare it's results to those from the FFT method.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133976257","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":"Recent Developments of Radar Remote Sensing; Air- and Space-borne Multimodal SAR Remote Sensing in Forestry & Agriculture, Geology, Geophysics (Volcanology and Tectonology): Advances in P0L-SAR, IN-SAR, POLinSAR and POL-DIFF-IN-SAR Sensing and Imaging with Applications to Environmental and Geodynami","authors":"W. Boerner, J. Morisaki","doi":"10.1109/IRS.2006.4338093","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338093","url":null,"abstract":"In this overview, reasons are provided on why we do need to place multimodal, multi-band single and multiple pass POLinSAR monitoring platforms into air and space. The questions\" on what POLinSAR monitoring can provide that POL-SAR and INSAR by themselves cannot accomplish \" is assessed; whereupon facts and justifications on placing POL-IN-BISAR satellite clusters into space are presented. Reasons for this technology becoming a basic requirement for current, near-future and much more so for future all-day & night year around monitoring of the terrestrial covers are analyzed in view of the un-abating and uncontrollable terrestrial population explosion, which has, does and for ever will result in unavoidable conflicts deteriorating unfortunately at times into terrorism. The pertinent questions on how to reduce the exorbitant cost for initiating this \"home-globe security protection\"technology are therefore also broached, and the expected benefits are laid out. The pertinent National and International airborne and space borne multi-modal, multi-band SAR remote sensing and security conflict surveillance support agencies are herewith invited for co-sponsoring our proposal, which is timely and fleets of orbiting multi-band space-borne POLinSAR platforms are urgently required.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590373","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":"Knowledge-aided Heterogeneity-compensation Algorithm for STAP Applicable to Bistatic Configurations and Conformal Antenna Arrays","authors":"P. Ries, S. de Greve, F. Lapierre, J. Verly","doi":"10.1109/IRS.2006.4338009","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338009","url":null,"abstract":"Space-time adaptive processing (STAP) is a well-suited technique to detect slow-moving targets in the presence of a strong interference background. We consider the application of STAP in a bistatic radar configuration when the radar returns are recorded by a conformal antenna array (CAA). The secondary data snapshots used to estimate the optimum weight vector are typically heterogeneous, i.e., not identically distributed with respect to range, thus preventing the STAP processor from achieving its optimum performance. We present a novel knowledge- aided (KA), registration-based pre-processor that mitigates the heterogeneity of the secondary data. When applied to simulated data for a bowl-shaped antenna, this pre-processor is shown to provide enhanced performance when used in conjunction either with the standard sample matrix inversion (SMI) algorithm or with the more computationally- and data-efficient joint domain localized (JDL) algorithm.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115396544","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":"Space Time Adaptive Processing Estimates for IBM/Sony/Toshiba Cell Broadband Engine Processor","authors":"J. Larsson, L. Cico, Jon Greene","doi":"10.1109/IRS.2006.4338102","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338102","url":null,"abstract":"In order to enhance the processing capabilities while keeping the power consumption at a reasonable level, processors have become more integrated with additional logic units. An exciting example of this technology trend is the Sony/Toshiba/IBM new Cell multi-core processor. This paper explores the application of a computationally intensive algorithm implemented on the Cell processor. The algorithm analyzed in this paper is the Space-Time Adaptive Processing (STAP). STAP is an advanced method to detect targets with small cross sections in noisy environments.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"23 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116524383","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":"Triangulation and Deghosting","authors":"F. Opitz, G. Kouemou","doi":"10.1109/IRS.2006.4338143","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338143","url":null,"abstract":"Triangulation and deghosting is the most complex part in multitarget tracking. It considers the relationship between the directions measured by the sensors and the original, real targets. This paper gives an overview and comparison, how advanced multisensor multitarget tracking methods can be applied and combined.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116612865","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":"Wide-Aperture 2-D HF skywave radar beamforming with unknown phase offset between sub-arrays","authors":"B.A. Johnson, Y. Abramovich","doi":"10.1109/IRS.2006.4338047","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338047","url":null,"abstract":"Sensor systems using a distributed aperture with separately calibrated sub-arrays or elements with different angle-dependent complex response require either elaborate calibration or operation with a beamforming algorithm which compensates for the lack of full aperture calibration. An approach using a variant of adaptive subspace detection algorithms which inherently compensate for unknown scalar offsets between sub-arrays is investigated.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097878","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":"Acoustic Random Noise Radar Using Ultra Wide Band Waveforms","authors":"S. Axelsson","doi":"10.1109/IRS.2006.4338072","DOIUrl":"https://doi.org/10.1109/IRS.2006.4338072","url":null,"abstract":"Ultra wideband noise radar gives high range resolution and the range ambiguity is suppressed as a result of the non-periodic waveform. Random noise waveforms could also be applied in acoustic radar (Sodar/Sonar). Both wave generation and signal processing can then be performed on a PC. As a result, some signal processing algorithms used in random noise radar/sodar can be tested simpler using sound waves. This paper presents basic relationships and algorithms for signal processing in random noise radar/sodar, and the noise floor generated by the randomness of the transmitted signal is defined. A PC-controlled acoustic radar with ultra wide band random noise waveform (1-8 kHz) was implemented to test some of the algorithms described Measurements were carried out on both moving objects and stationary scenes. Moving target indication using stretched time processing (Doppler) and change detection algorithms were tested as well. Recording from a bridge shows the potential use of the technique for water level indication as an example.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122706767","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}