What is rician fading channel?
What is rician fading channel?
Rician fading or Ricean fading is a stochastic model for radio propagation anomaly caused by partial cancellation of a radio signal by itself — the signal arrives at the receiver by several different paths (hence exhibiting multipath interference), and at least one of the paths is changing (lengthening or shortening).
What is correlated fading?
We show that the fading correlation affects the MEA capacity by modifying the distributions of the gains of these subchannels. The fading correlation depends on the physical parameters of MEA and the scatterer characteristics.
What is K factor in rician fading?
Rician factor The Rician K-factor is defined as the ratio of signal power in dominant component over the (local-mean) scattered power. In the expression for the received signal, the power in the line-of-sight equals C2/2.
What is block fading channel?
Block fading is where the fading process is approximately constant for a number of symbol intervals. A channel can be ‘doubly block-fading’ when it is block fading in both the time and frequency domains.
What is the difference between Rayleigh and rician wireless channel models?
Rayleigh fading is most applicable when there is no dominant line-of-sight propagation between the transmitter and receiver. Rician model considers that the dominant wave can be a phasor sum of two or more dominant signals, e.g. the line-of-sight, plus a ground reflection.
What is channel correlation?
In wireless communication, spatial correlation is the correlation between a signal’s spatial direction and the average received signal gain. In practice, the channels between different antennas are often correlated and therefore the potential multi antenna gains may not always be obtainable.
How MIMO creates performance gains in a fading channel in wireless communication?
Due to multipath fading, strength of the signal at the receiver becomes very weak. This increases the bit error rate (BER) and hence reduces the efficiency of the whole system. MIMO refers to a wireless technique for transmitting and receiving more than one signal over the same channel by using multipath propagation.
What are the types of fading?
1.) Large Scale Fading
- a) Path loss. The free space path loss can be expressed as follows.
- b) Shadowing effect. •
- a) Flat fading.
- b) Frequency Selective fading.
- c) Fast fading.
- d) Slow fading.
- Rayleigh fading.
- Rician fading.
What are various causes of fading?
What Causes Fading. Fading can be caused due to natural weather disturbances, such as rainfall, snow, fog, hail and extremely cold air over a warm earth. Fading can also be created by man made disturbances, such as irrigation, or from multiple transmission paths, irregular earth surfaces, and varying terrains.
Which is better Rayleigh or rician?
Rayleigh model is more accurate model then Rician Fading model. Rayleigh model is that model, which is considered to generate multipath Fading model channel.
What is the difference between the Rayleigh and Rician fading channels?
Rician fading occurs when one of the paths, typically a line of sight signal or some strong reflection signals, is much stronger than the others. Rayleigh fading is sometimes considered a special case of Rician fading for when there is no line of sight signal.
What is Rician fading?
The interaction between these paths lead to fading phenomena, which is often modeled statistically using Rician fading (sometimes written as Ricean fading). The main assumption is that the complex-valued channel coefficient in the complex baseband can be divided into two parts:
Which channel at a particular frequency subcarrier is subject to Rician fading?
The channel at a particular frequency subcarrier is a linear combination of the L taps, which is computed using an FFT matrix. Hence, it is the channel at a particular subcarrier that is subject to Rician fading.
What is Rician fading in complex Gaussian distribution?
The complex Gaussian distribution is motivated by the central limit theorem, which says that the sum of many independent and identically distributed random variables is approximately Gaussian. Under these assumptions, the magnitude of the channel coefficient is Rice/Rician distributed, which is why it is called Rician fading.
