VSSO Kalman-usage of Barhumi's pilot pattern for channel estimation in MIMO-OFDM systems
Vector state-scalar observation (VSSO) and vector state-vector observation (VSVO) are two types of Kalman channel estimators used in orthogonal frequency division multiplexing (OFDM) systems. VSSO Kalman channel estimators result in over 90% complexity savings, compared to VSVO Kalman channel es...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/100831 http://hdl.handle.net/10220/13275 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Vector state-scalar observation (VSSO) and vector state-vector observation
(VSVO) are two types of Kalman channel estimators used in
orthogonal frequency division multiplexing (OFDM) systems. VSSO
Kalman channel estimators result in over 90% complexity savings,
compared to VSVO Kalman channel estimators, without any loss of
performance. Thus far, for frequency-selective channels, VSSO
Kalman channel estimators have been proposed only for OFDM
systems and not for MIMO-OFDM systems. VSVO Kalman channel
estimators have been proposed for MIMO-OFDM systems over frequency-
selective channels. Proposed is a VSSO Kalman channel estimator
for MIMO-OFDM systems using Barhumi’s pilot pattern. It will
be seen that the proposed VSSO Kalman channel estimator has much
better performance than the method of Barhumi’s least-squares method
(literature method) and this is achieved with only a moderate increase
(two times) in complexity. Similarly, the proposed VSSO Kalman
channel estimator has the same performance as the VSVO
Kalman channel estimator method (literature method) and this is
achieved at about (1/60)th of the complexity associated with the
VSVO method. |
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