Efficient computation of the azimuth and elevation angles of the sources by using unitary matrix pencil method (2-D UMP)

2006 ◽  
Author(s):  
N. Yilmazer ◽  
T.K. Sarkar
Keyword(s):  
Matrix Pencil ◽  
Unitary Matrix ◽  
Efficient Computation ◽  
Matrix Pencil Method

scholarly journals Estimating Direction of Arrival by Using Two-Dimensional State-Space Balance Method

2017 ◽  
Vol 2017 ◽  
pp. 1-5
Author(s):  
Jun Wang ◽  
Hong Xiang ◽  
Shaoming Wei ◽  
Zhongsheng Sun
Keyword(s):  
State Space ◽  
Elevation Angle ◽  
Matrix Pencil ◽  
Direction Of Arrival ◽  
Unitary Matrix ◽  
Two Dimensional ◽  
Rectangular Array ◽  
Matrix Pencil Method ◽  
Dimensional State Space ◽  
Controllability And Observability

A study of a two-dimensional state-space balance (2D SSB) method for estimating direction of arrival (DOA) for uniform rectangular array (URA) is presented in this letter. The comprehensive utilization of controllability and observability matrices and automatic pairing technique are considered in this method by using the single snapshot. Therefore, the DOAs of elevation angle and azimuth angle can pair automatically and acquire better estimation performance compared with 2D matrix pencil method or unitary matrix pencil method. In addition, the proposed method can handle correlated signals directly without preprocessing. Simulation is conducted to verify the effectiveness of the proposed method.

scholarly journals Locating Ships Using Time Reversal and Matrix Pencil Method by Their Underwater Acoustic Signals

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5065
Author(s):  
Daniel Chaparro-Arce ◽  
Sergio Gutierrez ◽  
Andres Gallego ◽  
Cesar Pedraza ◽  
Felix Vega ◽  
...  
Keyword(s):  
Time Reversal ◽  
Communication Channel ◽  
Matrix Pencil ◽  
Acoustic Signals ◽  
Underwater Acoustic ◽  
Low Bit Rate ◽  
Matrix Pencil Method ◽  
The Matrix ◽  
Resonance Expansion ◽  
Passive Sensors

This paper presents a technique, based on the matrix pencil method (MPM), for the compression of underwater acoustic signals produced by boat engines. The compressed signal, represented by its complex resonance expansion, is intended to be sent over a low-bit-rate wireless communication channel. We demonstrate that the method can provide data compression greater than 60%, ensuring a correlation greater than 93% between the reconstructed and the original signal, at a sampling frequency of 2.2 kHz. Once the signal was reconstituted, a localization process was carried out with the time reversal method (TR) using information from four different sensors in a simulation environment. This process sought to achieve the identification of the position of the ship using only passive sensors, considering two different sensor arrangements.

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