Abstract:Abstract-This paper presents a data-loading technique that jointly considers the effect of channel estimation and the property of encoded multimedia data in Orthogonal Frequency Division Multiplexing (OFDM) systems. We observe that OFDM subchannels experience different average bit error rate (BER) due to channel estimation inaccuracy. The leakage effect in the fast Fourier transform (FFT)-based channel estimation method or the model mismatch in the polynomial-based channel estimation method results in a variat… Show more
“…System parameters of the OFDM system are related to the 3GPP LTE system and arranged in TA BLE I [5]. Pilot symbols are inserted into the OFDM frame for channel and noise estimation [6]- [8]. For the sake of the tradeoff between estimation accuracy and complexity, pilot symbols need not be inserted into all subcarriers of the OFDM symbol.…”
This paper presents two new noise estimation meth ods in the orthogonal frequency division multiplexing system, which are based on the channel estimation. In the traditional noise estimation method, the noise power is achieved with subtracting the pilot signal power from the total received power.While the first new noise estimation method can get the noise power easily by the difference of the adjacent channels. The second new method is the modification of the first method.Compared with the traditional method, the two new methods are effective on the calculation complexity. Simulation results demonstrate that the estimation accuracy of the two new methods are better than the traditional method.
“…System parameters of the OFDM system are related to the 3GPP LTE system and arranged in TA BLE I [5]. Pilot symbols are inserted into the OFDM frame for channel and noise estimation [6]- [8]. For the sake of the tradeoff between estimation accuracy and complexity, pilot symbols need not be inserted into all subcarriers of the OFDM symbol.…”
This paper presents two new noise estimation meth ods in the orthogonal frequency division multiplexing system, which are based on the channel estimation. In the traditional noise estimation method, the noise power is achieved with subtracting the pilot signal power from the total received power.While the first new noise estimation method can get the noise power easily by the difference of the adjacent channels. The second new method is the modification of the first method.Compared with the traditional method, the two new methods are effective on the calculation complexity. Simulation results demonstrate that the estimation accuracy of the two new methods are better than the traditional method.
“…Here, N is the total number of subcarriers, n is the index of subcarrier, and k is the index of OFDM symbols. The channel noise samples { w[n, k] } are modeled as Gaussian random variables with zero mean and variance &2 and are assumed to be independent for different n 's or k 's [3].…”
Section: B Channel Estimationfor Ofdmsystemsmentioning
confidence: 99%
“…In Rayleigh fading, the sequence { YJ (t) } is modeled as zero-mean circular symmetric complex Gaussian random variable with variance a, and is assumed to be independent for different paths [3]. The channel frequency response at the OFDM subcarriers locations can be approximated by the samples of continuous channel frequency response [3], that is H [n, k] h(t, r)e-j2 fr dr f=nAf,t=kTf E yi(kT )e -j2zmAfri (4) i Where Tf is the length of an OFDM symbol, Af =Bd /N is the frequency space between two consequence subcarrier, and…”
Section: B Channel Estimationfor Ofdmsystemsmentioning
In this paper a low-cost channel estimation technique for DVB-T systems with hierarchical modulation to extract only high-priority (HP) stream, is proposed. The proposed approach is based on the estimation and correction of the phase component of channel frequency response. In this way, this phase is considered while the magnitude is neglected. As will be shown, ignoring lowpriority (LP) stream, we can perform demapping of HP stream, just by compensation of the phase of demodulated complex symbols. Compared with conventional channel estimation techniques, the major advantage of this technique is its simplicity and low computational complexity, but at the cost of losing LP stream. In fact, the aim is decoding and demodulation of just HP stream when hierarchical scheme is employed in the DVB-T transmitter. Simulation is performed to evaluate BER of HP stream versus channel SNR to validate the estimation method.
“…The rationale of UEP is to provide variant resource allocation procedure corresponding to variant importance degree of information content. In [4], [5] multimedia data are rearranged to subchannels according to the feedback information of channel estimation from the receivers. Houas et al [6] assigned multimedia data of high error sensitive degree to the best subcarriers by further joint considerations in optimizing the source rate and symbol payload.…”
Abstract-Time-varying channel causes intercarrier interference (ICI) and impairs the orthogonality among subcarriers in wireless mobile Orthogonal Frequency Division Multiplexing (OFDM) systems. The ICI and loss of carrier orthogonality degrade the bit error rate (BER), and thus results in intolerable loss of quality especially in applying multimedia data transmission. In this paper, we propose an unequal density of pilot placement for OFDM systems in time-varying channel, which provides Unequal Error Protection (UEP) for important multimedia transmission. A dynamic image data assignment (DIDA) scheme for UEP utilizing visual saliency is presented to reallocate image data in OFDM symbol for the UEP transmission. Simulation results show substantial improvements of quality in the region of interest in the image by using proposed method.
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