Results 171 to 180 of about 31,048 (205)
Some of the next articles are maybe not open access.
DOA estimation in heteroscedastic noise
The Journal of the Acoustical Society of America, 2018The paper considers direction of arrival (DOA) estimation from long-term observations in a noisy environment. In such an environment the noise source might evolve, causing the stationary models to fail. Therefore a heteroscedastic Gaussian noise model is introduced where the variance can vary across observations and sensors.
Peter Gerstoft +2 more
openaire +1 more source
DOA estimation by bootstrap method
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI), 2012The bootstrap is a great technique for assessing the accuracy of parameters estimator in situations where conventional techniques are not valid. In this article, we highlight the motivations for using the bootstrap in array signal processing applications.
Hao Feng, Lutao Liu, Biyang Wen
openaire +1 more source
Broadband DOA Estimation Using Learning-Based Optimal Statistics Estimates
IEEE Sensors JournalFor accurate Direction of Arrival (DOA) estimation in challenging high reverberation and low signal-to-noise ratio (SNR) scenarios, various deep learning (DL) techniques have been developed to incorporate and enhance existing algorithms. However, addressing the challenges of enhancing network manipulability, constructing efficient learning features ...
Qinzheng Zhang +5 more
openaire +2 more sources
Interference Jamming DOA Estimation Algorithm
2005 IEEE Antennas and Propagation Society International Symposium, 2005In this paper, the interference jamming method (IJM) is presented. The method can estimate the weak target under the condition of presence of large power interference of known direction. The method can be applied to the passive array radar based civil broadcasting station.
null Chen Hui, null Wang Yongliang
openaire +1 more source
DOA Estimation of Nonstationary Signals
2014Abstract In this chapter, we discuss the direction finding problem of sources emitting or inducing nonstationary signals. The focus is on signals which are uniquely characterized by their instantaneous frequencies. Recognizing the quadratic time-frequency distributions as an effective tool to localize signal power in the time-frequency domain, we ...
Moeness G. Amin, Yimin D. Zhang
openaire +1 more source
DOA Estimation Methods and Algorithms
2014Estimation of direction of arrival (DOA) from data collected by sensor arrays is of fundamental importance to a variety of applications such as radar, sonar, wireless communications, geophysics and biomedical engineering. Significant progress in the development of algorithms has been made over the last three decades.
Pei-Jung Chung, Mats Viberg, Jia Yu
openaire +1 more source
Practical DOA Estimation via a Network of DOA-Blind Sensors
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007We consider the problem of DOA (direction of arrival) estimation of an acoustic wavefront by a wireless sensor network (WSN) within the SENMA architecture (a mobile agent (MA) repeatedly polls the sensors lying inside its field of view). The sensors, which are random in number and location, are DOA-blind and simply emit a pulse train synchronized to ...
GUERRIERO M +3 more
openaire +1 more source
Laplace Distribution Based DOA Estimation
2022 16th IEEE International Conference on Signal Processing (ICSP), 2022Haiwei Duan +3 more
openaire +1 more source
Direction of Arrival (DOA) Estimation
2019The importance of DOA estimation in radar processing for automotive applications cannot be overstated. It forms the third component of the radar cube: range, velocity, and angle. In practice, DOA estimation is often complicated by the fact that there will be multiple and unknown number of source signals impinging on the receiver array at the same time,
openaire +1 more source