The invention discloses a mobile OFDM system channel estimation method based on compressed sensing. The method is composed of the following four parts: establishment of a dictionary matrix; a process of carrying out statistics on a probability of selecting in the dictionary matrix at a high signal to noise ratio; a process of solving a channel coefficient by reselecting in the dictionary matrix at a low signal to noise ratio; and a stopping criterion based on a Bayes information criterion function. According to the method, statistics is carried out on parameters obtained through channel estimation at the high signal to noise ratio, thereby carrying out high-speed channel estimation at the low signal to noise ratio; a bit error ratio and a mean square error of a system can be effectively reduced at the low signal to noise ratio; the quality of a received signal at the low signal to noise ratio in a high-speed moving state can be improved; the channel estimation speed at the low signal to noise ratio can be increased; and a demand of a user for a high-quality signal is satisfied in real time. The method is applicable to any OFDM wireless communication system frame. An existing communication system does not need to be modified. The function can be realized only by carrying out software or hardware upgrade on a terminal device. The method has wide application and promotion value.

Mobile OFDM system channel estimation method based on compressed sensing

An embodiment of the invention discloses a large-scale multi-input-and-output channel estimation method and device. The method includes receiving pilot signals on a plurality of sub carriers; according to high relevance among antennas, restoring a frequency domain channel matrix of sub carriers with pilot occupancy through a compressed sensing algorithm and restoring channel matrix of all the sub carriers by utilizing a feature of time domain sparsity of channels. By adopting the method and device provided by the invention, channel time frequency resource occupied by the pilot signals during a channel estimation process is saved.

Large-scale multi-input-and-output channel estimation method and device

The invention discloses a compressed sensing channel estimation method for an underwater acoustic OFDM iterative receiver, and relates to the field of underwater acoustic communication. The method includes: Performing channel estimation; Performing channel equalization; Performing interweaving; performingSISO coding. An improved SAMP algorithm, namely an MSAMP algorithm, is provided. According tothe MSAMP algorithm, the problem of time domain leakage of discrete impulse response can be eliminated, the advantages of the SAMP algorithm are inherited, sparsity prior information is not needed, and accurate channel estimation can be carried out only by setting the step length and the time domain expansion parameters. The MSAMP algorithm has the sparseness self-adaption capability, and can continuously approach the sparseness of an actual channel by stepwise increasing the size of I under the condition that the sparseness is unknown, so that accurate channel estimation is obtained. The biggest innovation point is that the algorithm overcomes the influence of discrete impulse response time domain leakage, so that the result is more accurate.

A compressed sensing channel estimation method for an underwater acoustic OFDM iterative receiver

This application discloses a method for determining a pilot arrangement and a base station. The method includes the following steps. S 1. Select a first optimized pilot arrangement P 1 from an available subcarrier set G as a pilot arrangement of the first transmit antenna, and set G 1 =G−P 1; S 2. Perform a cyclic shift on the P 1; if a Pi obtained after the shift is a subset of the G 1, use the P 1 as a pilot arrangement of the i th transmit antenna; or if a Pi obtained after the shift is not a subset of the G 1, select a Pi from the G 1 as a pilot arrangement of the i th transmit antenna; and set G 1 =G 1 −Pi and i=i+1, and repeatedly perform S 2 until i is equal to a quantity of transmit antennas.

Method for Determining Pilot Arrangement and Base Station

The invention discloses a pilot frequency configuration determination method and a base station. The method comprises: step one, a first optimized pilot frequency configuration P1 selected from a subcarrier set G is regarded as the pilot frequency configuration of a first transmitting antenna, wherein G1= G - P1; step two, cyclic shift is carried out on P1, if Pi obtained after the cyclic shift belongs to a subset of G1, then Pi is regarded as the pilot frequency configuration of the i-th transmitting antenna, if Pi obtained after the cyclic shift does not belong to the subset of G1, then Pi is selected from G1 and is regarded as the pilot frequency configuration of the i-th transmitting antenna; G1 = G1 - Pi, i = i +1, and the step two is repeatedly executed until i is equal to the number of the transmitting antennas. According to the scheme of the method, it is guaranteed that the pilot frequency configurations determinated for a sparse channel of an MIMO system are all optimized pilot frequency configurations.

Pilot frequency configuration determination method and base station

Disclosed are a pilot frequency arrangement determination method and a base station, wherein the method comprises: S1, selecting a first optimized pilot frequency arrangement P1 from an available subcarrier set G as a pilot frequency arrangement of a first transmitting antenna and making G1=G-P1; S2, performing a cyclic shift on the P1; if a Pi obtained after the shift is a subset of the G1, using the Pi as a pilot frequency arrangement of an ith transmitting antenna; if the Pi obtained after the shift is not the subset of the G1, selecting the Pi from the G1 as the pilot frequency arrangement of the ith transmitting antenna; making G1=G1-Pi and i=i+1, and repeatedly executing S2 until the i equals a number of transmitting antennas. A scheme ensures that those determined specific to sparse channels of an MIMO system are all optimized pilot frequency arrangements.

Wu Yiqun

Papers

Method for Determining Pilot Arrangement and Base Station

Pilot frequency configuration determination method and base station

Pilot frequency arrangement determination method and base station