The determination of Cramer-Rao lower bound (CRLB) as an optimality criterion for the problem of channel estimation in wireless communication is a very important issue. Several CRLBs on channel estimation have been derived for Gaussian noise. However, a practical channel is affected by not only Gaussian background noise but also non-Gaussian noise such as impulsive interference. This paper derives the deterministic and stochastic CRLBs for Gaussian and non-Gaussian mixed noise. Due to the use of the non-parametric kernel method to build the PDF of non-Gaussian noise, the proposed CRLBs are suitable for practical channel environments with various noise distributions.Published versio
It is well known that iterative channel estimation and OFDM signals detection can significantly impr...
Signal-to-noise ratio (SNR) estimation available in the literature are designed based on the assumpt...
One of the most important challenges for communication system designers is to combat the detrimental...
The determination of Cramer-Rao lower bound (CRLB) as an optimality criterion for the problem of cha...
Non-data-aided (NDA) parameter estimation is consideredfor binary-phase-shift-keying transmission in...
In this paper, we derive the Cramer-Rao bound (CRB) for data-aided channel estimation for OFDM with ...
In this work, first the Cramer-Rao lower bound (CRLB) of the signal-to-noise ratio (SNR) estimate fo...
With the plethora of devices that operate in current communication networks, there is a non-zero pro...
In this contribution, Cramer-Rao lower bound (CRLB) for signal-to-noise ratio (SNR) estimation from ...
The detection of signals in the presence of noise is one of the most basic and important problems en...
The Cramer-Rao bound (CRB) provides an efficient standard for evaluating the quality of standard par...
Cramer-Rao bound expressions are derived for data and non-data-aided SNR estimation of noncoherent B...
This paper considers semiblind channel estimation and data detection for orthogonal frequency-divisi...
Signal to Noise Ratio (SNR) estimation when the transmitted symbols are unknown is a common problem ...
Abstract We consider the Cramer-Rao bound (CRB) for data-aided channel estimation for OFDM with know...
It is well known that iterative channel estimation and OFDM signals detection can significantly impr...
Signal-to-noise ratio (SNR) estimation available in the literature are designed based on the assumpt...
One of the most important challenges for communication system designers is to combat the detrimental...
The determination of Cramer-Rao lower bound (CRLB) as an optimality criterion for the problem of cha...
Non-data-aided (NDA) parameter estimation is consideredfor binary-phase-shift-keying transmission in...
In this paper, we derive the Cramer-Rao bound (CRB) for data-aided channel estimation for OFDM with ...
In this work, first the Cramer-Rao lower bound (CRLB) of the signal-to-noise ratio (SNR) estimate fo...
With the plethora of devices that operate in current communication networks, there is a non-zero pro...
In this contribution, Cramer-Rao lower bound (CRLB) for signal-to-noise ratio (SNR) estimation from ...
The detection of signals in the presence of noise is one of the most basic and important problems en...
The Cramer-Rao bound (CRB) provides an efficient standard for evaluating the quality of standard par...
Cramer-Rao bound expressions are derived for data and non-data-aided SNR estimation of noncoherent B...
This paper considers semiblind channel estimation and data detection for orthogonal frequency-divisi...
Signal to Noise Ratio (SNR) estimation when the transmitted symbols are unknown is a common problem ...
Abstract We consider the Cramer-Rao bound (CRB) for data-aided channel estimation for OFDM with know...
It is well known that iterative channel estimation and OFDM signals detection can significantly impr...
Signal-to-noise ratio (SNR) estimation available in the literature are designed based on the assumpt...
One of the most important challenges for communication system designers is to combat the detrimental...