A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Bat-inspired adaptive design of waveform and trajectory for radar
2008
2008 42nd Asilomar Conference on Signals, Systems and Computers
Preserved Fulltext
We propose to design jointly the waveform and trajectory of a radar mounted on a moving platform, in order to improve the system performance for tracking maneuvering targets. ...
We consider a library of target state models associated with different PRI values and use multiple model to schedule the optimal PRI. ...
Multiple-Model Particle Filter We apply the multiple-model particle filter [13] to implement the former Bayesian algorithm for our tracking problem characterized by a nonlinear state and measurement ...
doi:10.1109/acssc.2008.5074355
fatcat:5ih36nvyrnf5heyna43axzwori
Adaptive highly localized waveform design for multiple target tracking
2012
EURASIP Journal on Advances in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Using simulations, we demonstrate the improvement in tracking performance when we adaptively select the MCPC CAZAC waveforms over tracking using non-adaptive waveform configurations or single-carrier phase-coded ...
The target tracker is based on an independent partitions likelihood particle filter that is capable of processing the high-resolution measurements resulting from the Björck CAZAC sequences and tracks a ...
In Section "Adaptive waveform selection", we integrate the IP-LPF with a waveform configuration algorithm and demonstrate its performance in tracking multiple targets in Section "Simulation results". ...
doi:10.1186/1687-6180-2012-180
fatcat:gdkg6tilavedtn3dvcekxgoj4u
Multi-target tracking using multi-modal sensing withwaveform configuration
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Index Terms-Multi-modal sensing, multiple target tracking, Rao-Blackwellized particle filter, waveform-agile sensing. ...
Rao-Blackwellized particle filtering is used to track an unknown number of targets within an adaptive framework that yields the optimized joint sensor configuration. ...
CONCLUSION We investigated the joint multi-modal RF-EO multi-target tracking using adaptive waveform design and control. ...
doi:10.1109/icassp.2010.5495807
dblp:conf/icassp/ZhangPR10
fatcat:sxvvjrh6xvb7fhmk6jkf4ectxy
Waveform-agile sensing for tracking
2009
IEEE Signal Processing Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
While advances in sensor technology and flexible digital waveform generators that enable dynamic waveform design and adaptation have only been recently developed [2], [11], [36], bats and dolphins have ...
Waveform agility in active radar systems can provide performance improvements such as reduced target-tracking error, improved target detection, higher target identification accuracy, and increased efficiency ...
A particle filter based tracker then uses the measurements obtained by the adapted waveform to improve tracking performance [28] , [44] , [46] . ...
doi:10.1109/msp.2008.930418
fatcat:gg5pymctbnguhljvsf2glvgreu
Introduction to the Issue on Advanced Signal Processing Techniques for Radar Applications
2015
IEEE Journal on Selected Topics in Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The lack of observation data is considered under the radar tracking framework in the paper "Multiple imputations particle filters: convergence and performance analyses for nonlinear state estimation with ...
Housfater, and A. Anpalagan present a multiple imputations particle filter (MIPF) to deal with non-linear state estimation when part of the observations are missing. ...
doi:10.1109/jstsp.2015.2497458
fatcat:7tssxg3xw5g7pnxku5zjahhg7e
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference
2008
IEEE Transactions on Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Index Terms-Adaptive design, polarimetric radar, posterior Cramér-Rao bound, radar tracking, sequential Bayesian filter, waveform design. . Louis. ...
In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. ...
Next, we develop a sequential (recursive) Bayesian filtering for target tracking and adaptive waveform design. Some work on adaptive waveform design for target tracking is presented in [8] - [16] . ...
doi:10.1109/tsp.2007.909044
fatcat:mtovmp2ycrcy3adi76arkvxtua
Joint Detection and Tracking Algorithm for Cognitive Radar Based on Parallel Structure of EKF and Particle Filter
2019
IET radar, sonar & navigation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Finally, a cognitive structure adaptive particle filter (CSAPF) algorithm, based on parallel structure of extended Kalman filter (EKF) and particle filter, are used with Probabilistic Data Association ...
Then, based on the idea of human brain perception-action cycle, a joint waveform and detection threshold adaptive tracking algorithm based on minimum information entropy criterion is proposed. ...
Acknowledgments The research is supported by the National Natural Science Foundation of China (61671453) and the Anhui Province Natural Science Fund Project (1608085MF123). ...
doi:10.1049/iet-rsn.2019.0214
fatcat:e7qio5xilfbtpbv7x3kqvyfxb4
OFDM MIMO radar design for low-angle tracking using mutual information
2009
2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We apply a sequential Monte Carlo method (particle filter) to track the target, while integrating an optimal waveform design technique based on mutual information criterion. ...
We develop an information theoretic waveform design algorithm for target tracking in the presence of multipath. ...
We use a sequential Monte Carlo method (particle filter) to track the target. ...
doi:10.1109/camsap.2009.5413311
fatcat:y3ykzbocnndq3khceslolaznt4
Scheduling and Power Allocation in a Cognitive Radar Network for Multiple-Target Tracking
2012
IEEE Transactions on Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Index Terms-Adaptive power allocation, adaptive scheduling, Bayesian inference, cognitive radar network, complex urban environment, multi-target tracking, sequential Monte Carlo estimation. ...
We propose a cognitive radar network (CRN) system for the joint estimation of the target state comprising the positions and velocities of multiple targets, and the channel state comprising the propagation ...
In [7] , the authors use a cognitive radar network for extended target recognition, and in [8] , the authors propose an adaptive waveform design for a cognitive radar designed for target recognition. ...
doi:10.1109/tsp.2011.2174989
fatcat:xl4ub7cqbzg7ziqeidrod6sp6i
OFDM MIMO Radar With Mutual-Information Waveform Design for Low-Grazing Angle Tracking
2010
IEEE Transactions on Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
Thus, we track the scattering coefficients of the target at different frequencies along with its position and velocity. We apply a sequential Monte Carlo method (particle filter) to track the target. ...
We propose an information theoretic waveform design algorithm for target tracking in a low-grazing angle (LGA) scenario. ...
Effect of Adaptive Waveform Design Figs. 10 and 11 demonstrate the improvement in tracking performance due to the adaptive waveform design in comparison with fixed waveform. ...
doi:10.1109/tsp.2010.2044834
fatcat:m5o4huz3t5h5bgp5kdynnk3xey
Algorithm and Parallel Implementation of Particle Filtering and its Use in Waveform-Agile Sensing
2011
Journal of Signal Processing Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
on the parallel particle filter algorithm performance (Section 5.2, Section 6.1); the waveform-agile sensing algorithm (Section 4.1), the waveform-agile tracking application (Section 4.2), and its hardware ...
Sequential Monte Carlo particle filters (PFs) are useful for estimating nonlinear non-Gaussian dynamic system parameters. ...
For the case without waveform design, we choose mid range value α k = 10 9 . We use N =1,000 particles to track the target. ...
doi:10.1007/s11265-011-0601-2
fatcat:4cy4xpegpvgdbgsvwsyozy47bq
An overview of recent advances on distributed and agile sensing algorithms and implementation
2015
Digital signal processing (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We also study waveform-agile sensing, which includes methods for adapting the sensor transmit waveform to match the environment and to optimize the selected performance metric. ...
As we consider systems with potentially large number of sensors, we discuss the use of resource-agile implementation approaches based on multiple-core processors in order to efficiently implement the computationally ...
Waveform-Agile Target Tracking in Radar Measurements from active radar sensors are used to track moving targets. ...
doi:10.1016/j.dsp.2015.01.001
fatcat:hyodvr6xknb75kvl2dodzicm2i
Multipath exploitationwith adaptivewaveform design for tracking in urban terrain
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We integrate multipath exploitation with adaptive waveform design in order to increase the tracking performance of a vehicle moving in urban terrain. ...
Mitigation of both clutter and strong multipath returns can result in increased target detection. ...
As there are two possible types of motion, the process model must adaptively choose the type of motion at each time step using the multiple-model particle filter (MMPF) [10] . ...
doi:10.1109/icassp.2010.5495808
dblp:conf/icassp/ChakrabortyLZTPM10
fatcat:edw2ywl7ineyjcalc6wnd4ccia
Designing Adaptive Time Resource Management Cost Function for Cognitive Radar
2020
IET radar, sonar & navigation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Both simulated target data and real target data are used for evaluating the proposed cost function. ...
Cognitive radars have the capability of adapting the transmitted waveform with the dynamic state of target and environment, to enhance the radar performance. ...
Particle filter [24] , cognitive structure adaptive particle filter [29] , unscented particle filter (UPF) [30] , and EKF-PF [31] are the most famous filters from the Monte Carlo simulation category ...
doi:10.1049/iet-rsn.2020.0077
fatcat:6qkmtdedfrcd5dm2evq5tr3pzu
Adaptive waveform design in rapidly-varying radar scenes
2009
2009 International Waveform Diversity and Design Conference
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The effectiveness of our waveform-agile sensing approach is demonstrated by detecting a moving target in heavy sea clutter using configured waveforms, and then comparing the resulting performance to that ...
We consider a waveform-agile sensing algorithm for designing transmitted waveforms in rapidly-varying radar scenes to improve target detection performance. ...
We first estimated the space-time covariance matrix of the sea clutter using multiple particle filtering, and then we discussed the waveform design algorithm to adaptively design the transmitted signal ...
doi:10.1109/wddc.2009.4800357
fatcat:m4tvtaiyvra3na5rgcywefrexe
« Previous
Showing results 1 — 15 out of 5,480 results