Signaling strategies for the hybrid MIMO phased-array radar
Document Type
Article
Publication Date
2-1-2010
Abstract
The Hybrid MIMO Phased Array Radar (HMPAR) is a notional concept for a multisensor radar architecture that combines elements of traditional phased-array radar with the emerging technology of multiple-input multiple output (MIMO) radar. A HMPAR comprises a large number, MP, of T/R elements, organized into M subarrays of P elements each. Within each subarray, passive element-level phase shifting is used to steer transmit and receive beams in some desired fashion. Each of the M subarrays are in turn driven by independently amplified phase-coded signals which could be quasi-orthogonal, phase-coherent, or partially correlated. Such a radar system could be used in an airborne platform for concurrent search, detect, and track missions. This paper considers various signaling strategies which could be employed in the notional HMPAR architecture to achieve various objectives quantified by transmit beampatterns and spacetime ambiguity functions. First, we propose a method to generate multiple correlated signals for uniform linear and rectangular arrays that achieve arbitrary rectangular transmit beampatterns in one and two dimensions, while maintaining desirable temporal properties. Examples of the range of transmit beampatterns possible with this technique are illustrated for an array of MP=900 elements, arranged using different values of M and P. Then the spacetime, or MIMO, ambiguity function that is appropriate for the HMPAR radar system is derived. Examples of ambiguity functions for our signals using a one-dimensional HMPAR architecture are given, demonstrating that one can achieve phased-array-like resolution on receive, for arbitrary transmit beampatterns. © 2010 IEEE.
Publication Title
IEEE Journal on Selected Topics in Signal Processing
Recommended Citation
Fuhrmann, D.,
Browning, J.,
&
Rangaswamy, M.
(2010).
Signaling strategies for the hybrid MIMO phased-array radar.
IEEE Journal on Selected Topics in Signal Processing,
4(1), 66-78.
http://doi.org/10.1109/JSTSP.2009.2038968
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10735