Abstract
This paper proposes a joint timing synchronization and channel estimation scheme for communications systems with multiple transmit antennas based on a well-designed training sequence arrangement. In addition, a generalized maximum-likelihood (ML) channel estimation scheme is presented, and this one-shot scheme is applied to obtain all channel impulse responses (CIR) from different transmit antennas. The proposed approach consists of three stages at each receive antenna. First, coarse timing and frequency offset estimates are obtained. Then, an advanced timing, relative timing indices, and the corresponding CIR estimates at the second stage are obtained using the generalized ML estimation based on a sliding observation vector. Finally, the fine time adjustment based on the minimum mean squared error criterion is performed. From the simulation results, the proposed approach has excellent performance in timing synchronization under several channel models at signal-to-noise ratio smaller than 1dB.
Highlights
In communications systems, timing and channel estimates are two important parameters at the receiver in order to reconstruct the signal
This paper develops a joint timing synchronization and channel estimation algorithm suitable for downlink multiple-input multiple-output (MIMO) networks based on a time-domain training sequence arrangement in the short-range wireless transmission environment
I=1 k=0 where b ∈ {1, . . . , NR}, b is the carrier frequency offset (CFO) normalized to the orthogonal frequency division multiplexing (OFDM) subcarrier spacing, τb is the timing offset from all transmit antennas to the bth receive antenna, hib(k) represents the kth channel impulse responses (CIR) from
Summary
In communications systems, timing and channel estimates are two important parameters at the receiver in order to reconstruct the signal. In [16], a joint fine time synchronization and channel estimation scheme based on a nonoverlapping training sequence arrangement was proposed. In [18], a joint timing synchronization and channel estimation approach based on the same training sequence arrangement was proposed. A majority vote refinement approach which requires multiple timing estimates was proposed for fine time adjustment in MIMO systems These derived optimal and suboptimal threshold factors could be determined only when signal-to-noise ratio (SNR) exceeds 0dB, and this joint approach is not suitable for MISO systems. This paper develops a joint timing synchronization and channel estimation algorithm suitable for downlink MIMO networks based on a time-domain training sequence arrangement in the short-range wireless transmission environment.
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