OFDM-based WLAN systems are originally used for nearly static environment. But in the trend of user-convenience, if we want to support mobility, the most important issue is the Doppler effect caused by the object velocity. We investigate how the Doppler effect, signal-to-noise ratio (SNR) and imperfect estimation of channel impulse response (CIR) and the maximum Doppler shift fd influence the final bit error rate (BER) under the simulation environment, modified WLAN 802.11a specification. For these effects, we give some simulation results and conclusions. If CIR and df are known with the same number of multipath, we can see some phenomenon. First, the BER is dominated by AWGN noise. Second, under the same channel delay spread, the higher the object velocity is, the more serious the BER is. Third, under the same the object velocity, the more serious the BER is. If CIR is known instead of fd, under the same error percentage of fd and the same number of multipath, the lesser the velocity is the lesser the BER curve changes. If fd is known instead of CIR with the same number of multipath, the longer the channel delay spread is, the more serious the BER is.

The fine time resolution of ultra wide-band (UWB) systems enables applications in TOA/TDOA based high precision wireless indoor location. The main purpose of this thesis is to investigate TOA estimation in multi-band OFDM UWB systems. We propose an effective and simplified TOA estimation algorithm for multi-band OFDM standard. The proposed algorithm is based on the generalized maximum-likelihood (GML) algorithm. The TOA estimation algorithm utilizes the preamble signal in multi-band OFDM system. We modify the realization method of GML algorithm according to the preamble signal properties and apply it to multi-band OFDM system. From simulation results, by comparing with cross correlation algorithm and the original GML algorithm, the proposed algorithm has ability to mitigate multipath interference and improves TOA estimation accuracy. In this thesis we also discuss the thresholds setting and SNR estimation problems to make the proposed algorithm more realizable.

A complex array for constructing perfect sequences is presented in this paper. The row sequences and their discrete Fourier transform form two sets of perfect sequences. The column sequences are orthogonal to each other for any cyclic shift. In addition, any combination of the column sequences with complex weighting coefficients of equal amplitude is also a perfect sequence. In addition, a superimposed training scheme is also proposed for channel estimation in OFDM systems. The perfect sequence is adopted since it has a constant magnitude in both the time domain and the frequency domain. Although the derived channel estimator has a slightly worse performance since the unknown data contributes extra noise, the effective data throughput is substantially increased. In addition, the proposed scheme is shown to have a much better peak-to-average power ratio (PAPR) because the added perfect sequence has a constant magnitude in the time domain.

No description available.

First, the introduction of IEEE 802.11p will be made. There are some issues of IEEE 802.11p under vehicular environment And its OFDM system suffers much loss in time-varying fading channel. To mitigate the performance degradation, we combine Columnwise Complementary Codes with IEEE 802.11p to resist the interference caused by high-speed mobile channel. Finally, we will show some simulation results of CCC-OFDM system compared with the original OFDM system working in the IEEE 802.11p environment.

¡@¡@In recent year, orthogonal frequency division multiplexing ¡]OFDM¡^ technology has been widely used in high-speed communication systems. One primary reason for the popularity of OFDM is its ability to provide good performance in multi-path channels than the other systems through the use of Guard interval(GI). By using the Guard interval, it can convert these inter-symbol interference (ISI) channels into ISI-free channels. But Guard interval without any information will caused inter-channel interference. In order to solve this problem, a guard interval using cyclic prefix (CP) is inserted to avoid inter-symbol interference from the adjacent symbols and inter-channel interference from other sub-channels. However, using long cyclic prefix will decrease the transmission rate, reduce the spectral efficiency, and increase the signal-to-noise power ratio¡]SNR¡^loss. If we choose a shorter one, the channel length may be longer than the cyclic prefix. The interference caused by insufficient cyclic prefix can seriously degrade the performance of OFDM systems. In order to solve this problem, a time domain equalizer¡]TEQ¡^is usually used in the receiver to shorten the channel length of OFDM transmission system, and therefore minimize the ISI and ICI. However, because of its high complexity, the optimum design of TEQ is hard to realize. ¡@¡@So we use an iterative channel estimation technique between time domain and frequency domain to mitigate the ISI and ICI which is caused by insufficient cyclic prefix. The iterative technique can remove ISI and hold the circular convolution property. By utilizing the iterative technique we can improve the channel estimation performance as the OFDM symbol used sufficient cyclic prefix. ¡@¡@In the computer simulations, we consider the worst case that the OFDM symbol is transmitted without guard interval. The results show that our proposed method can effectively suppress residual ISI. The comparison between our proposed method including both proposed channel estimation¡]PCE¡^and proposed data demodulation¡]PDD¡^, decision feedback channel estimation¡]DFCE¡^, avoid ISI preamble channel estimation¡]AISIP¡^, and residual ISI cancellation¡]RISIC¡^algorithm are made in this thesis. Finally, the performance improvement of the proposed algorithm under several channel conditions is considered and compared with other algorithms.

Digital video broadcasting for Terrestrial (DVB-T) is one of the major standards for the fixed reception of digital television services, and the orthogonal frequency division multiplexing (OFDM) demodulator is a critical module of DVB-T receivers. As the remarkable advace of the VLSI (very large scale integration) circuits, the SOC (system-on-a-chip) of the DVB-T receiver is an inevitabel evolution. Considering the integration of the mixed-signal circuits, the issues ot beat could be the frequency synthesis and the calibration of the mixed-signal circuits. Hence, this thesis proposes an OFDM demodulator and discusses the design issues emerged from the SOC integration. The proposed OFDM demodulator is composed of four blocks: time synchronization, frequency synchronization, 2K/8K mode FFT (fast Fourier transform), and channel estimation. The demodulator utilizes the pilot signals embeded in OFDM symbols to estimate the frequency offset and the channel response. Besides, the demodulator use the cyclic prefix of an OFDM symbol to find the correct starting position of an OFDM symbol, and consequently the payload data of an OFDM symbol can be transmitted to the 2K/8K FFT for further processing. As the demand for a low noise frequency signal, we propose a direct digital frequency synthesizer (DDFS) based on the quadruple angle approximation. According to the proposed trigonometric 2nd-order quadruple angle approximation, the DDFS can produce a high-resolution and low-phase noise digital sinusoid without any ROM (read only memory). The digital calibration is an effective scheme to prevent ADCs (analog-to-digital converter) from the interference of noise. A random number generator (RNG) is an essential component for the calibration circuitry. However, the realization of the RNG is an important but long ignored issue. This thesis proposes a RNG based on a chaotic system wherein the coefficients of the system is dynamically changed to attain an ideal random bit stream with flat power spectrum density.

This thesis studies the subcarrier power allocation for the relayed signal in Orthogonal Frequency-Division Multiplexing (OFDM) based dual-hop system where the relay node operated in amplify-and-forward (AF) scheme. The investigated system assumes that each subcarrier at the source node transmits the signal with uniform power distribution. Considering the separated sum power constraints which the power constraint at source and relay node are uncorrelated, the conventional iterative water-filling algorithm can maximize the system capacity. However, it requires high computational complexity and the performance improvement is limited when the source node transmits the signal with uniform power distribution, subcarrier power allocation at relay node for capacity maximization is impractical. To further enhance the system performance, a novel subcarrier power allocation method is derived into a closed-form for the relayed signal to minimize the summation of equivalent noise power of the destination node. Comparing with the existing schemes, simulation results demonstrate that the proposed power scaling scheme significantly improves system average bit error rate (ABER).

Zugl.: Dresden, Techn. Univ., Diss., 2009

Modern day wireless communication systems are constantly facing increasing bandwidth demands due to a growing consumer base. To cope up with it, they are required to have a better power vs performance from the RF devices. The amount of data being exchanged over wireless links has tremendously increased and simultaneously, there is a need to switch to portable RF devices and this has in turn forced the issue of low-power RF system design. Therefore, what we need is an RF transceiver that operates at high data rates and over adverse channels with a low power consumption. A major portion of the power is utilized by the RF front end of the wireless system. Many methods like controlled positive feedback, re-utilizing bias current, etc have been employed to reduce the power consumption of the RF front end. The most modern wireless systems adapt to the channel quality by adjusting the data transmission rates and by adjusting the output power of the RF Power Amplifier. However, each of these methods concentrates on working for the worst case channel and giving the highest data rate. What needs to be known is that the channel conditions are not always worst. Even for a normal channel, the system is going to utilize a lot of power and give the highest possible data rate which may or may not be necessary. And thus, for the most part, the system is going to use up more power than necessary. What we need instead, is a system which works nominally for a normal channel and exhaustively for a harsh channel condition. This requires the system to adapt to the channel conditions. Also another major factor causing fluctuations in the performance is the process variations. This calls for a channel-dependent dynamic transceiver with adequate power management and tuning. In our work, we try to devise a method to dynamically minimize the power considering the varying channel conditions and process variations. We first use companding to reduce the dynamic range of the signal so that it can be used on facilities with smaller dynamic range. This brings down the transmitted power. We also create multiple instances of the Power Amplifier to simulate process variations. After finding the optimum tuning knob settings for one instance of the PA, we try to use it to obtain the optimum settings for another instance. This requires the use of some heuristics and in our work, we have supplemented it with Simulated Annealing. Using SA, we can dynamically tune the power of a system for changing channel conditions and existing process variations. Towards the end, we have also proved that the slower the cooling rate of the experiment, the more elaborate the search space is and the more accurate the result is.