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Robust Waveform Design for MIMO Radars

IEEE Transactions on Signal Processing, 2011
The problem of robust waveform design for multiple-input, multiple-output radars equipped with widely spaced antennas is addressed here. Robust design is needed as a number of parameters may be unknown, e.g., the target scattering covariance matrix and the disturbance covariance matrix.
Emanuele Grossi   +2 more
openaire   +3 more sources

Waveform Design for Tracking Systems

2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015
An adaptive waveform selection algorithm for target tracking systems in wideband environments is developed based on the minimization of the mean square tracking error which can be computed using the Cramer-Rao lower bounds. The performance advantage of the proposed adaptive waveform selection algorithm compared with minimum and maximum time band width ...
openaire   +1 more source

A steganographic approach for covert waveform design

MILCOM 2016 - 2016 IEEE Military Communications Conference, 2016
A framework for designing covert sonar waveform and assessment of its steganographic security for sonar applications is presented, based on a model for the underwater ambient acoustic environment the waveform is intended to hide under. Adopting the lessons from the steganography literature, steganographic security is measured not by evaluating ...
J. Daniel Park, John F. Doherty
openaire   +1 more source

A flexible design of waveform for communication and navigation

2018 IEEE Wireless Communications and Networking Conference (WCNC), 2018
The main problem of the integrated waveform design for communication and navigation is timing. The timing accuracy requirement in navigation systems is much higher than that in communication systems. In order to solve this problem, a flexible design of waveform and its tracking algorithm is proposed in this paper.
Xiaoxiao Xu   +3 more
openaire   +1 more source

MIMO Radar Waveform Design for Multipath Exploitation

IEEE Transactions on Signal Processing, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou Xu 0002   +2 more
openaire   +2 more sources

Radar waveform design for detection of weapons

2010 2nd International Workshop on Cognitive Information Processing, 2010
We present waveform design based on signature exploitation techniques for improved detection of weapons in urban sensing applications. We consider a single-antenna monostatic radar system. Under the assumption of exact knowledge of the target orientation and, hence, known impulse response, matched illumination approach is used for optimal target ...
Fauzia Ahmad, Moeness G. Amin
openaire   +1 more source

Discrete Frequency-Coding Waveform Design

2007 14th IEEE International Conference on Electronics, Circuits and Systems, 2007
A modified simulated annealing algorithm (MSAA) is proposed to design discrete frequency-coding (DFC) sequence sets with good autocorrelation and crosscorrelation properties. The proposed algorithm is a combination of simulated annealing and Hamming scan algorithm.
Sohanpal Singh, Kakarla Subbarao
openaire   +1 more source

Introduction to waveform design

2021
In this chapter, fundamental concepts are introduced for the waveform design. Generalized definition of the waveform is given to provide a basis for the discussions in the first two parts. Several relationships for the waveform design are investigated, and then application requirements of different wireless communications standards are discussed ...
Yazar, Ahmet, Arslan, Hüseyin
openaire   +1 more source

Waveforms design for modern and MIMO radar

Eurocon 2013, 2013
One of the main focus of the research in modern radar systems, as MIMO (Multiple Input Multiple Output) radar and multifunction/multistatic radar, is the waveforms design and optimization in order to get a low degradation in the main lobe (low Signal to Noise Ratio loss), a low Peak Side-Lobe Ratio (PSLR) and good orthogonality properties.
GALATI, GASPARE, PAVAN, GABRIELE
openaire   +2 more sources

Reinforcement Learning For Waveform Design

2021 IEEE Radar Conference (RadarConf21), 2021
In this paper we propose the use of a deep neural network (DNN) trained using deep deterministic policy gradient (DDPG) reinforcement learning (RL) to solve a simplified radar waveform design problem. The problem is to select phases for a phase-coded waveform with a power spectrum (PS) containing a low-power notch to support spectrum sharing.
Graeme E. Smith, Taylor J. Reininger
openaire   +1 more source

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