Title :
On the Blind Identifiability of Orthogonal Space–Time Block Codes From Second-Order Statistics
Author :
Vía, Javier ; Santamaría, Ignacio
Author_Institution :
Cantabria Univ., Santander
Abstract :
In this paper, the conditions for blind identifiability from second-order statistics (SOS) of multiple-input multiple-output (MIMO) channels under orthogonal space-time block coded (OSTBC) transmissions are studied. The main contribution of the paper consists in the proof that, assuming more than one receive antenna, any OSTBC with a transmission rate higher than a given threshold, which is inversely proportional to the number of transmit antennas, permits the blind identification of the MIMO channel from SOS. Additionally, it has been proven that any real OSTBC with an odd number of transmit antennas is identifiable, and that any OSTBC transmitting an odd number of real symbols permits the blind identification of the MIMO channel regardless of the number of receive antennas, which extends previous identifiability results and suggests that any nonidentifiable OSTBC can be made identifiable by slightly reducing its code rate. The implications of these theoretical results include the explanation of previous simulation examples and, from a practical point of view, they show that the only nonidentifiable OSTBCs with practical interest are the Alamouti codes and the real square orthogonal design with four transmit antennas. Simulation examples and further discussion are also provided.
Keywords :
MIMO communication; block codes; space-time codes; statistics; MIMO channels; SOS; blind identifiability; multiple-input multiple-output channels; orthogonal space-time block codes; second-order statistics; Acoustic signal detection; Acoustic signal processing; Bandwidth; Block codes; MIMO; Maximum likelihood decoding; Receiving antennas; Statistics; Transmitting antennas; Wireless communication; Blind identifiability; multiple-input multiple- output (MIMO) communications; orthogonal space–time block codes (OSTBC); second-order statistics (SOS);
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2007.913561