Method and device for detecting symbols of OFDMA multiaerial system
A detection method and symbol technology, applied in diversity/multi-antenna systems, space transmit diversity and other directions, can solve problems such as difficulty in interference suppression, and achieve the effects of interference suppression and time-frequency diversity
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Embodiment 1
[0036] Embodiment 1: as figure 1 As shown, the signal is transmitted on a set of time-frequency grids, and the set of time-frequency grids is divided into 4 groups, each group is a subset containing adjacent time-frequency grids, and a null symbol is assigned to each group. The allocation method can be as figure 1 As shown in (a), the empty symbols allocated by each group are different; the allocation method can also be as follows figure 1 As shown in (b), group 1 and group 2 share a null symbol, and group 3 and group 4 share a null symbol.
[0037] For receivers with multiple antennas, such as figure 2 As shown, the message signal vector x of the received i-th group s i (k, t), pilot vector x p i (k, t) and an empty signed vector x n i (k, t) is as follows:
[0038] x s i ( k , t ) = h s i ...
Embodiment 2
[0052] Embodiment 2: The information symbols transmitted in this embodiment are CS-OFDMA signals. The L message symbols s to be transmitted are multiplied to the left by s by the code spreading matrix w to generate a CS-OFDMA signal.
[0053] x=w·s
[0054] X=[x 1 , x 2 ,...,x N ] T
[0055] image 3 is a block diagram of the transmission process of the transmitter of this embodiment, the CS-OFDMA signal {x n} After subcarrier mapping, IFFT transformation and D / A conversion, it is transmitted through the radio frequency antenna.
[0056] Figure 4 is a block diagram of the reception processing of the receiver of this embodiment. First, the beamforming weight is calculated according to the spatial characteristics of each group and the user interference matrix; then, according to the beamforming weight of each group, each group is spatially merged; a spatially merged message signal {y i} form a set, and extract a space-combined pilot symbol from each group {y p i} fo...
Embodiment 3
[0064] Embodiment 3: as Figure 5 As shown, after detecting the initial signal symbols s, they can be modulated again to generate Will The beamforming weights can be further refined as a training signal. In this example, The remodulation of is as follows: x ~ = W · s ~
[0065] Then construct the user data matrix R for each group y i and user correlation vector R y i , calculate the improved beamforming weights of the i-th group according to the minimum mean square error criterion, as follows:
[0066] R y i = Σ n = 1 L x s i ( k n , t n )...
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