Results 91 to 100 of about 256 (131)
Parameters estimation with coprime samplers and arrays
Les réseaux et les capteurs éparse attirent de plus en plus l'attention en raison de leur capacité à augmenter les DOFs. La DOA ou la fréquence des signaux peut être estimée avec peu de capteurs d'antenne ou quelques échantillons sub-Nyquist collectés.
openaire +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Coprime Nested Arrays for DOA Estimation: Exploiting the Nesting Property of Coprime Array
IEEE Signal Processing Letters, 2022Yingtao Ding, Zhe Peng, Shiwei Ren
exaly +2 more sources
Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
IEEE Transactions on Signal Processing, 2018Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail to utilize all information received by the coprime array due to the non-uniformity of the derived virtual array, resulting in an inevitable estimation performance loss. To address this issue, we
Zhiguo Shi +2 more
exaly +2 more sources
Unitary Esprit for Coprime Arrays
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Coprime arrays are normally used to identify more sources than sensors, using the coarray domain. They can also be used directly in element-space and still have benefits of better accuracy and resolution compared to ULAs. An invariance is buried in each of the two sparse ULAs which constitute a coprime array. In this paper, ESPRIT is applied separately
Po-Chih Chen, P. P. Vaidyanathan
openaire +2 more sources
DOA estimation in the autocorrelation domain for coprime array
Digital Signal Processing, 2021Abstract In this paper a new algorithm for direction of arrival (DOA) estimation in coprime arrays based on the autocorrelation domain (AD) method is proposed. The spatial autocorrelation sequence of the virtual uniform linear array (ULA) associated with the coprime array is built by averaging the diagonals of the spatially smoothed covariance matrix.
Kimia Hamouleh Kheirollahpour +2 more
openaire +1 more source
Generalized Thinned Coprime Array for DOA Estimation
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021Owing to the large degrees of freedom and reduced mutual coupling by producing difference coarrays, nonuniform linear arrays have aroused great interest in direction of arrival (DOA) estimation. Previous works have presented some new sparse arrays, such as the thinned coprime array.
Junpeng Shi +5 more
openaire +1 more source
Multiplicity of coprime pairs for extension of coprime sensor arrays
The Journal of the Acoustical Society of America, 2019This research finds the optimum period of a basic coprime sensor array (CSA) needed to reduce the PSL height to -13 dB for both minimum and product processing methods. Our design does not have the constraint that the subarray lengths be one integer apart unlike in [Adhikari et al., 2014].
Pablo Johnson +4 more
openaire +1 more source
Analysis of Coprime Arrays on Moving Platform
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019Moving platforms enable sparse arrays to assume higher degrees of freedom and lead to increased number of lags. In essence, array motion can fill the holes in the spatial auto-correlation lags associated with a fixed platform and, therefore, increase the number of sources detectable by the same physical array. In this paper, we consider coprime arrays,
Guodong Qin +2 more
openaire +1 more source
Sparse sensing with coprime arrays
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers, 2010Coprime sampling has, in the past, been used for signal processing applications such as range and doppler improvement in radar, and for identifying sinusoids in noise. This paper considers a coprime pair of samplers in space or time from the point of view of the difference coarray, which is key to the increased freedom available for processing with ...
P. P. Vaidyanathan, Piya Pal
openaire +1 more source
Gaussian signal detection by coprime sensor arrays
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015Coprime sensor arrays (CSAs) achieve the resolution of a fully populated uniform linear array (ULA) with the same aperture using fewer sensors. The conventional CSA product beamformer suffers from a smaller array gain due to the reduced number of sensors.
Kaushallya Adhikari, John R. Buck
openaire +1 more source