Contents
How are channel estimation techniques used in OFDM?
Channel estimation forms the heart of any orthogonal frequency division multiplexing (OFDM) based wireless communication receiver. Frequency domain pilot aided channel estimation techniques are either least squares (LS) based or minimum mean square error (MMSE) based.
Which is the optimal channel estimator for MSE?
Linear minimum mean square error (LMMSE) is by definition the optimal channel estimator in the sense of MSE criterion, but its practical application is limited by its high complexity. Furthermore, the LMMSE estimation method requires the knowledge of both the channel and the noise statistics, which are a priori unknown at the receiver.
Are there any drawbacks to LMMSE channel estimation?
Furthermore, the LMMSE estimation method requires the knowledge of both the channel and the noise statistics, which are a priori unknown at the receiver. A wide range of techniques are proposed in the literature in order to overcome these two drawbacks.
Which is the heart of an OFDM receiver?
The heart of any OFDM receiver is the channel estimation block. Efficiency of the channel estimation has a direct impact on the bit error rate (BER) performance of the OFDM system. This paper considers data aided (pilot aided) channel estimation in frequency domain.
Channel estimation techniques of this type rely on the path-delay parameterization of the channel and have been previously applied in OFDM (see, e.g.,). Their value is found at the explicit incorporation of the channel parameterization in the estimation algorithm, hence their name.
Which is the best algorithm for channel estimation?
A pilot aided channel estimation algorithm detection and channel estimation. A joint time domain tracking [14]. Radial Basis Function (RBF) network based channel estimation has been investigated in [15]. This is based on dynamics of the fading process. In one-dimensional channel channels are exploited.
How is channel estimation done in physical layer?
Physical layer simulations have been considered in order to assess the performance loss in presence of residual channel estimation errors. As presented in Section 4.1.2, the channel estimation is provided by a data-aided algorithm exploiting the presence of L known symbols.
Why is channel estimation important in wireless communication?
Channel estimation plays a very important role on the performance of wireless communication systems.