Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656050
Guang Ji, Qiuhai Zhong
This paper presents an efficient AVS-P2 encoding scheme which is based on motion compensation de-interlacing information. This scheme uses the similarity between motion compensation of encoding and motion compensation of de-interlacing to reduce the overall computational complexity of encoding system. A system analysis is performed to study this similarity. As a result, we use the information of motion compensation from the de-interlacing to control the encoding process. The experimental results demonstrate this new encoding scheme reduces the computational complexity of AVS-P2 encoder remarkably while the degradation in video quality is negligible.
{"title":"An Avs-P2 encoding scheme based on motion compensation de-interlacing information","authors":"Guang Ji, Qiuhai Zhong","doi":"10.1109/ICOSP.2010.5656050","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656050","url":null,"abstract":"This paper presents an efficient AVS-P2 encoding scheme which is based on motion compensation de-interlacing information. This scheme uses the similarity between motion compensation of encoding and motion compensation of de-interlacing to reduce the overall computational complexity of encoding system. A system analysis is performed to study this similarity. As a result, we use the information of motion compensation from the de-interlacing to control the encoding process. The experimental results demonstrate this new encoding scheme reduces the computational complexity of AVS-P2 encoder remarkably while the degradation in video quality is negligible.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126703625","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656090
Benyong Liu, Jing Zhang, Xiang Liao
A kernel fitting algorithm is proposed for speech denoising to improve the precision of voice activity detection (VAD) and the performance of speech enhancement, of some popular algorithms. In the algorithm, a noisy speech frame is filtered by kernel fitting, and then its power spectral density is estimated and weighted by a gain factor constructed from frame energy and zero-crossing rate, so that a speech signal is obviously discriminated from a nonspeech one. By incorporation of the VAD outputs and the noise effect into the kernel fitting process, a speech frame is enhanced with better performance than the spectra subtraction algorithm. Experiments are taken on a real life speech signal plus simulated noises, and the results show the potentiality of the proposed algorithms in speech detection and enhancement.
{"title":"Kernel fitting for speech detection and enhancement","authors":"Benyong Liu, Jing Zhang, Xiang Liao","doi":"10.1109/ICOSP.2010.5656090","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656090","url":null,"abstract":"A kernel fitting algorithm is proposed for speech denoising to improve the precision of voice activity detection (VAD) and the performance of speech enhancement, of some popular algorithms. In the algorithm, a noisy speech frame is filtered by kernel fitting, and then its power spectral density is estimated and weighted by a gain factor constructed from frame energy and zero-crossing rate, so that a speech signal is obviously discriminated from a nonspeech one. By incorporation of the VAD outputs and the noise effect into the kernel fitting process, a speech frame is enhanced with better performance than the spectra subtraction algorithm. Experiments are taken on a real life speech signal plus simulated noises, and the results show the potentiality of the proposed algorithms in speech detection and enhancement.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129180569","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656938
F. Nakhaei, A. Sam, M. Mosavi, S. Zeidabadi
The flotation column is a multivariable process whose main control objective is to guarantee the metallurgical yield set for the process operation, expressed by the grade and the recovery of the valuable mineral in the concentrate. The on-line estimation of grade usually requires a significant amount of work in maintenance and calibration of on-stream analyzers, in order to maintain good accuracy and high availability. These difficulties and the high cost of investment and maintenance of these devices have encouraged the approach of prediction of metal grade as an index of control performance. Therefore, advanced new methods such as Artificial Neural Network (ANN) must be employed. In this work, it was used from Feed-Forward ANNs (FFANNs) method for the prediction of concentrate copper grade in flotation column using the real collected data, with 3–13–6–1 structure. The wash water and the non-floated flowrates and froth height were used as inputs to the network. The output of the model was percentage of Cu grade. It was achieved quite satisfactory correlations; so that R is equal 0.943 and 0.93 in training and testing stages for Cu grade prediction, respectively. The proposed NN model accurately estimates the effects of operational variables in column flotation plants and can be used in order to optimize the process parameters without having to conduct the new experiments in laboratory.
{"title":"Prediction of copper grade at flotation column concentrate using Artificial Neural Network","authors":"F. Nakhaei, A. Sam, M. Mosavi, S. Zeidabadi","doi":"10.1109/ICOSP.2010.5656938","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656938","url":null,"abstract":"The flotation column is a multivariable process whose main control objective is to guarantee the metallurgical yield set for the process operation, expressed by the grade and the recovery of the valuable mineral in the concentrate. The on-line estimation of grade usually requires a significant amount of work in maintenance and calibration of on-stream analyzers, in order to maintain good accuracy and high availability. These difficulties and the high cost of investment and maintenance of these devices have encouraged the approach of prediction of metal grade as an index of control performance. Therefore, advanced new methods such as Artificial Neural Network (ANN) must be employed. In this work, it was used from Feed-Forward ANNs (FFANNs) method for the prediction of concentrate copper grade in flotation column using the real collected data, with 3–13–6–1 structure. The wash water and the non-floated flowrates and froth height were used as inputs to the network. The output of the model was percentage of Cu grade. It was achieved quite satisfactory correlations; so that R is equal 0.943 and 0.93 in training and testing stages for Cu grade prediction, respectively. The proposed NN model accurately estimates the effects of operational variables in column flotation plants and can be used in order to optimize the process parameters without having to conduct the new experiments in laboratory.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130640346","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5657072
E. Cambria, A. Hussain, T. Durrani, Catherine Havasi, Chris Eckl, James Munro
Next-generation patients are far from being peripheral to health-care. They are central to understanding the effectiveness and efficiency of services and how they can be improved. Today a lot of patients are used to reviewing local health services on-line but this social information is just stored in natural language text and it is not machine-accessible and machine-processable. To distil knowledge from this extremely unstructured information we use Sentie Computing, a new opinion mining and sentiment analysis paradigm which exploits AI and Semantic Web techniques to better recognize, interpret and process opinions and sentiments in natural language text. In particular, we use a language visualization and analysis system, a novel emotion categorization model, a resource for opinion mining based on a web ontology and novel techniques for finding and defining topic dependent concepts, namely spectral association and CF-IOF weighting respectively.
{"title":"Sentic Computing for patient centered applications","authors":"E. Cambria, A. Hussain, T. Durrani, Catherine Havasi, Chris Eckl, James Munro","doi":"10.1109/ICOSP.2010.5657072","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5657072","url":null,"abstract":"Next-generation patients are far from being peripheral to health-care. They are central to understanding the effectiveness and efficiency of services and how they can be improved. Today a lot of patients are used to reviewing local health services on-line but this social information is just stored in natural language text and it is not machine-accessible and machine-processable. To distil knowledge from this extremely unstructured information we use Sentie Computing, a new opinion mining and sentiment analysis paradigm which exploits AI and Semantic Web techniques to better recognize, interpret and process opinions and sentiments in natural language text. In particular, we use a language visualization and analysis system, a novel emotion categorization model, a resource for opinion mining based on a web ontology and novel techniques for finding and defining topic dependent concepts, namely spectral association and CF-IOF weighting respectively.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130664514","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5655854
Xu Shaokun, L. Jihong, F. Yaowen, L. Xiang
Fast sampling of wideband RF signal and real time processing of vast data are great difficulties in the engineering implementation of deception jamming to ISAR. This paper proposes a sort of Sub-Nyquist Sampling-Based Method for Jamming ISAR Systems. First introduces the deception jamming technique based on false target for ISAR. Then investigates the jamming principle of sub-Nyquist sampling modulation. Through modulating false target information on radar signals intercepted by sub-Nyquist sampling, the resulting signal can produce a train of vivid false targets. The proposed method can greatly reduce the demands on sampling rate and processing speed, its jamming performance is analyzed in detail and verified by simulation experiments. The conclusions here have certain significance to the manufacture of ISAR jammer in practical engineering.
{"title":"Deception jamming method for ISAR based on sub-Nyquist sampling technology","authors":"Xu Shaokun, L. Jihong, F. Yaowen, L. Xiang","doi":"10.1109/ICOSP.2010.5655854","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655854","url":null,"abstract":"Fast sampling of wideband RF signal and real time processing of vast data are great difficulties in the engineering implementation of deception jamming to ISAR. This paper proposes a sort of Sub-Nyquist Sampling-Based Method for Jamming ISAR Systems. First introduces the deception jamming technique based on false target for ISAR. Then investigates the jamming principle of sub-Nyquist sampling modulation. Through modulating false target information on radar signals intercepted by sub-Nyquist sampling, the resulting signal can produce a train of vivid false targets. The proposed method can greatly reduce the demands on sampling rate and processing speed, its jamming performance is analyzed in detail and verified by simulation experiments. The conclusions here have certain significance to the manufacture of ISAR jammer in practical engineering.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123923234","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656148
Xie Yizhuang, Zhu Bocheng
The significance of on-board spaceborne SAR imaging processing is expatiated first. By analyzing the characteristics of spaceborne SAR imaging processing, a dual — layer, scalable, reconfigurable and fault-tolerant on-board spaceborne SAR real-time imaging processing system architecture, which the top layer adopts data partition parallel processing and the bottom layer adopts multi processors fine granularity close coupling, is put forward. System running efficiency is pointed out to analyze the whole system's efficiency; two system bottom realizable structures of bus sharing and bus distributing were designed.
{"title":"Architecture design of spaceborne SAR imaging processing system","authors":"Xie Yizhuang, Zhu Bocheng","doi":"10.1109/ICOSP.2010.5656148","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656148","url":null,"abstract":"The significance of on-board spaceborne SAR imaging processing is expatiated first. By analyzing the characteristics of spaceborne SAR imaging processing, a dual — layer, scalable, reconfigurable and fault-tolerant on-board spaceborne SAR real-time imaging processing system architecture, which the top layer adopts data partition parallel processing and the bottom layer adopts multi processors fine granularity close coupling, is put forward. System running efficiency is pointed out to analyze the whole system's efficiency; two system bottom realizable structures of bus sharing and bus distributing were designed.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124208148","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5655852
Wang He, Guozhong Wang, Liliang Liu, Zhang Yang, An Ping, Zhaoyang Zhang
A fast and automatic method is proposed to eliminate the vertical parallax in multiview images. The horizontal parallax provide the viewers stereoscopic feeling, but the vertical parallax causes the view discomfort in autostereoscopic display. To decrease the viewing discomfort, the elimination of vertical parallax is necessary. The complexity of traditional processing method is discussed, and the complexity of the current methods is very high. Thus it is difficult to do real time rectification of 3DTV video images. In the proposal, SIFT(Scale Invariant Feature Transform) is employed to detect the features among different views. And a compact processing procedure is proposed to lessen the complexity of traditional methods automatically without complicated parameters initialization. The experiment shows that the performance of the proposal is encouraging as well as the speed of the processing is fast. Thus, it is convenient to implement for real time 3D video acquisition and 3DTV displaying.
{"title":"Fast automatic elimination of vertical parallax of multiview images","authors":"Wang He, Guozhong Wang, Liliang Liu, Zhang Yang, An Ping, Zhaoyang Zhang","doi":"10.1109/ICOSP.2010.5655852","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5655852","url":null,"abstract":"A fast and automatic method is proposed to eliminate the vertical parallax in multiview images. The horizontal parallax provide the viewers stereoscopic feeling, but the vertical parallax causes the view discomfort in autostereoscopic display. To decrease the viewing discomfort, the elimination of vertical parallax is necessary. The complexity of traditional processing method is discussed, and the complexity of the current methods is very high. Thus it is difficult to do real time rectification of 3DTV video images. In the proposal, SIFT(Scale Invariant Feature Transform) is employed to detect the features among different views. And a compact processing procedure is proposed to lessen the complexity of traditional methods automatically without complicated parameters initialization. The experiment shows that the performance of the proposal is encouraging as well as the speed of the processing is fast. Thus, it is convenient to implement for real time 3D video acquisition and 3DTV displaying.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123201294","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656837
Mingjian Yan, Brighton Feng, Tom Song
Multiple-Input Multiple-Output (MIMO) is one of the key technologies for the current and future broadband wireless services. Matrix inversion is the most costly computational module within the Minimum Mean-Square Error (MMSE) based MIMO receiver. For LTE Release 8, the order of the matrix to be inverted for an MMSE receiver is 2×2 for 2-stream MIMO. Going forward to LTE release 10, 4-stream MIMO can potentially double the throughput, but the matrix to be inverted will grow to 4×4, which is computationally intensive. In this paper, we will exam several software implementations of 4×4 matrix inversion. We will demonstrate how we can significantly reduce the cost (both in terms of cycle counts and development time) while maintaining enough output precision to meet performance requirements by using the floating-point feature of Texas Instruments' (TI) new multicore System-on-a-Chip (SoC) architecture.
{"title":"On matrix inversion for LTE MIMO applications using Texas Instruments floating point DSP","authors":"Mingjian Yan, Brighton Feng, Tom Song","doi":"10.1109/ICOSP.2010.5656837","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656837","url":null,"abstract":"Multiple-Input Multiple-Output (MIMO) is one of the key technologies for the current and future broadband wireless services. Matrix inversion is the most costly computational module within the Minimum Mean-Square Error (MMSE) based MIMO receiver. For LTE Release 8, the order of the matrix to be inverted for an MMSE receiver is 2×2 for 2-stream MIMO. Going forward to LTE release 10, 4-stream MIMO can potentially double the throughput, but the matrix to be inverted will grow to 4×4, which is computationally intensive. In this paper, we will exam several software implementations of 4×4 matrix inversion. We will demonstrate how we can significantly reduce the cost (both in terms of cycle counts and development time) while maintaining enough output precision to meet performance requirements by using the floating-point feature of Texas Instruments' (TI) new multicore System-on-a-Chip (SoC) architecture.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123494675","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656042
Jie Zhang, Jiande Sun, Ju Liu, Caixia Yang, Hua Yan
Salient regions detection is becoming more and more important due to its useful application in image representation and understanding. The accurate detection of salient regions can reduce the complexity and improve the efficiency of image processing. In this paper, a visual attention model based on multi-scale local contrast of low level features is proposed. In the proposed model, a multi-scale transform is used to obtain the original image at different scales, and the local contrast features of intensity, texture and color are calculated at each scale. Then these contrast features are interpolated iteratively to form three feature maps corresponding to intensity, texture and color respectively. Finally, the feature maps are integrated to obtain the final salient regions. In the experiment, a proven eye tracking system is used and verifies the salient region detected by the proposed model consistent with human vision. Furthermore, comparing with another two existing models, the proposed model also shows better performance.
{"title":"Visual attention model based on multi-scale local contrast of low-level features","authors":"Jie Zhang, Jiande Sun, Ju Liu, Caixia Yang, Hua Yan","doi":"10.1109/ICOSP.2010.5656042","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656042","url":null,"abstract":"Salient regions detection is becoming more and more important due to its useful application in image representation and understanding. The accurate detection of salient regions can reduce the complexity and improve the efficiency of image processing. In this paper, a visual attention model based on multi-scale local contrast of low level features is proposed. In the proposed model, a multi-scale transform is used to obtain the original image at different scales, and the local contrast features of intensity, texture and color are calculated at each scale. Then these contrast features are interpolated iteratively to form three feature maps corresponding to intensity, texture and color respectively. Finally, the feature maps are integrated to obtain the final salient regions. In the experiment, a proven eye tracking system is used and verifies the salient region detected by the proposed model consistent with human vision. Furthermore, comparing with another two existing models, the proposed model also shows better performance.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123519381","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}
Pub Date : 2010-12-03DOI: 10.1109/ICOSP.2010.5656256
Wang Yong-liang, Xie Wen-chong, Duan Ke-qing, Zhang Xi-chuan
Clutter returns in airborne radar applications spread in Doppler frequency because of platform motion. The clutter characteristics should be analyzed in detail for designing clutter suppression algorithms. In this paper, clutter modeling method for conventional phased array airborne radar, multiple-input-multiple-output (MIMO) airborne radar, and hybrid MIMO-phased array airborne radar, all with arbitrary antenna array, is presented. Modeling of clutter intrinsic motion, sensor error, subarraying is also considered.
{"title":"General clutter modeling for airborne radar","authors":"Wang Yong-liang, Xie Wen-chong, Duan Ke-qing, Zhang Xi-chuan","doi":"10.1109/ICOSP.2010.5656256","DOIUrl":"https://doi.org/10.1109/ICOSP.2010.5656256","url":null,"abstract":"Clutter returns in airborne radar applications spread in Doppler frequency because of platform motion. The clutter characteristics should be analyzed in detail for designing clutter suppression algorithms. In this paper, clutter modeling method for conventional phased array airborne radar, multiple-input-multiple-output (MIMO) airborne radar, and hybrid MIMO-phased array airborne radar, all with arbitrary antenna array, is presented. Modeling of clutter intrinsic motion, sensor error, subarraying is also considered.","PeriodicalId":281876,"journal":{"name":"IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124382947","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}
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