DocumentCode
3519204
Title
Frequency invariant MVDR beamforming without filters and implementation using MIMO radar
Author
Pal, Piya ; Vaidyanathan, P.P.
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
fYear
2009
fDate
19-24 April 2009
Firstpage
2081
Lastpage
2084
Abstract
Frequency invariant beamforming with sensor arrays is generally achieved using filters in the form of tapped delay-lines following each sensor. However it has been recently shown that with the help of the rectangular smart antenna array, it is possible to generate frequency invariant beampattern without using filters. In this paper, this frequency invariant beamforming technique is utilized to perform MVDR beamforming in the beamspace by designing frequency invariant beams spanning the desired range of azimuthal angles and optimally combining them. However, the performance of the frequency invariant beamformer depends on the number of sensors which could be large for a rectangular array of size M times N. Making use of the virtual array concept used in MIMO radar, a novel method of producing the same frequency invariant beam, using only M transmitting and N receiving antennas, is proposed and a design example is provided to demonstrate the idea.
Keywords
MIMO communication; adaptive antenna arrays; antenna radiation patterns; array signal processing; sensor arrays; MIMO radar; azimuthal angle; frequency invariant MVDR beamforming; frequency invariant beampattern; rectangular smart antenna array; sensor array; tapped delay-lines; virtual array; Antenna arrays; Array signal processing; Delay; Filters; Frequency; Intelligent sensors; MIMO; Radar antennas; Receiving antennas; Sensor arrays; Beamspace; Frequency Invariance; MIMO Radar; MVDR; Virtual Array;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4960025
Filename
4960025
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