Imported: 10 Mar '17 | Published: 27 Nov '08
USPTO - Utility Patents
The present invention is related to a circuit for encoding at least two input symbols by means of a space-time block code, comprising
The invention further discloses a corresponding circuit for space-time block decoding.
The present invention relates to space-time block codes as used in wireless communication systems for increasing data transmission reliability.
Space-time coding (STC) is a method for improving the reliability of data transmission in wireless communication systems using multiple transmit antennas. STC techniques rely on transmitting multiple, redundant copies of a data stream to the receiver to make the communication system robust enough to overcome the effect of channel distortion without interfering with each other and to allow reliable decoding.
A practically important type of space-time coding is space-time block coding (STBC). Space Time Block Coding (STBC) is a technique that uses the space dimension to help improving the robustness of a wireless link. Space-time block codes act on a block of data symbols at once and provide only diversity gain, but are much less complex in implementation terms than Space-Time Trellis Codes. The input signal is coded and mapped to several spatial streams. The spatial streams are further processed depending on the air interface used and finally are transmitted in the air using two or more antennas. FIG. 1 gives an illustration. A space-time block code can be defined with an MxN matrix, whereby the various entries are linear combinations of symbols contained in the input block and their conjugates. The number of transmit antennas in the system under consideration is N (with N2). M denotes the number of rows in the block code matrix and is also referred to as the block code length.
The STBC transmission scheme as presented by e.g. Alamouti (A simple transmit diversity technique for wireless communications, IEEE Journal on Sel. Areas in Comm., vol. 16, no. 8, pp. 1451-1458, October 1998) and Tarokh (Space-time block codes from orthogonal designs, IEEE Trans. Inform. Theory, vol. 45, pp. 1456-1467, July 1999) employs generalized orthogonal designs. Such designs use orthogonal code matrixes. In the following example the rows represent time and columns represent the various TX antennas. Hence, this code corresponds to the code H3 presented by Tarokh in Space-Time Block Coding for Wireless Communications Performance Results (IEEE Journal on Sel. Areas in Comm., vol. 17, no. 3, pp. 451-460, October 1998). The code rate is (i.e. a block of L=3 symbols input to the encoder block results in M=4 encoded symbols at the encoder block output) and the number of TX antennas N is 3.
At the receiver side the signal is received on one or more receive antennas, processed and finally space-time block decoded. FIG. 2 illustrates a receiver scheme where space-time block decoding is applied. It is important to note that in STBC a single receive antenna is sufficient to decode the signal. The addition of more receive antennas leads to a performance improvement due to the array gain (non-coherent noise averaged between antennas, signal-to-noise ratio increasing).
The present invention aims to provide an efficient hardware implementation for encoding and decoding space-time block codes.
The present invention relates to a circuit for encoding at least two input symbols by means of a space-time block code, comprising
Advantageously the storing means comprise first storing means for the information on which input symbol is to be selected, said first storing means being coupled with the plurality of multiplexers, and second storing means for the gain factor information.
Preferably the encoding circuit further comprises a buffer for receiving said at least two input symbols.
In a preferred embodiment the circuit further comprises a control element for controlling the storage means and, optionally, the buffer.
In an advantageous embodiment the input symbols are complex and separate buffers, multiplexers, storing means and calculation means are provided for encoding real and imaginary part.
In a second aspect the invention relates to a circuit for decoding space-time block codes, comprising
In an advantageous embodiment the storing means comprise first storing means for storing the index submatrix, said first storing means being coupled with the buffering means, and second storing means for storing the gain submatrix, said second storing means being coupled with the first storing means.
In another embodiment the calculation means comprises accumulation means arranged for accumulating intermediate calculation results.
Just as for the encoding circuit, the symbols received in the decoding circuit may be complex and separate buffering means, storing means and calculation means are provided for decoding real and imaginary part.
In a third aspect the invention relates to a method for space-time block encoding at least two input symbols, comprising the steps of
In a preferred embodiment the method for space-time block encoding further comprises a step of storing the input symbols in a buffer before applying them to the plurality of multiplexers.
In a further aspect the invention relates to a method for decoding received space-time block encoded symbols, comprising the steps of
The present invention offers an efficient implementation scheme for coding/decoding of STBC codes. The theoretical background of coding/decoding is explained by Tarokh in Space-Time Block Coding for Wireless Communications : Performance Results (IEEE Journal on Sel. Areas in Comm., vol. 17, no. 3, pp. 451-460, October 1998).
The invention is explained below for complex codes. It is to be noted however that also real codes can be considered. The scheme applied in the invention is based on a representation of the matrix as in Eq. 1 by four separate matrixes, namely two for the real part and two for the imaginary part. To do so, one first has to split the matrix in its real and imaginary branches. This gives for the above example of Equation 1:
Next each matrix is split into a gain submatrix and an index submatrix. This operation yields for the I branch
Gain submatrix (real part): and
Index submatrix (real part):
The same can be done for the Q branch.
Furthermore, this transformation is fully and unlimited scaleable for any number of spatial streams, output block size and code rate.
This specific representation of the space-time block codes allows for a highly simplified encoder architecture. The coding process (independent for I and Q) is simplified and can be implemented with simple multiplexers using inputs from the matrix Tind_I and an amplification with the gain stored in the matrix TSG_I. This remains valid for all the codes presented by Alamouti and Tarokh. An architecture suitable for implementation is proposed in FIG. 3. FIG. 3 shows an encoder scheme that could be used with the above-mentioned H3 code. FIG. 4 shows as an additional example an encoder scheme suitable for a 44 code.
The scheme also simplifies the decoding process by reducing the hardware and computational power required. Due to the four matrices representation, the decoding rule is reduced to the following.
At each receiver antenna j the received data stream is cut in blocks of M values. The number of rows of Tind_I (i.e. the code block length, which also corresponds to the number of time symbols) is denoted by M, as already mentioned.
Each value of the block is denoted rp which corresponds to a symbol in time (whereby p denotes a time index, for which holds 1pM).
The channel estimates are assumed constant over one space time coded block period. This assumption must be made in any standard using STBC, otherwise STBC could not work properly. Let hi,j represent the channel coefficient of the path between transmit antenna i and receive antenna j.
The decoder output is another block composed of L values, whereby L is the block length at the encoder input, i.e. the number of input symbols used to obtain an encoded STBC block. The ratio of the block length at the encoder input to that at the encoder output defines the code rate. The kth symbol at the STBC decoder output is called xk. For the index k holds that 1kL, with L as defined above.
Next xk is calculated by computing the real and the imaginary part of xk.
The real part can be calculated as follows. For each p (1pM) it is checked if k appears in the pth row of Tind_I. If t denotes the tth column where k appears in the pth row, the following term is constructed:
real (ixp)=TsgI (p, t)*(real (ht,j)*real (rp)+imag(ht, j)*imag (rp))
If k does not appear in the pth row of Tind_I then real(ixp)=0.
The various real (ixp) are accumulated. The accumulated sum of real (ixp) thus yields real (xk).
The imaginary part imag(xk) can be computed as follows. For each p (1pn) it is checked if k appears in the pth row of Tind_Q. If t denotes the tth column where k appears in the pth row, the following term is constructed:
imag (ixp)=TsgQ(p,t)*(real (ht,j)*imag (rp)imag (t,j)*real (rp))
If k does not appear in the pth row of Tind_Q then imag(ixp)=0.
The various imag(ixp) are accumulated. The accumulated sum of imag(ixp) thus yields imag(xk).
The calculation steps as set out above are repeated for each k, which finally yields a decoded version of the original block of data symbols. By decoding block after block in this way, the original stream of data symbols on each receive antenna can be decoded.
The example targets a system with one receiver antenna. The process can be generalized in a straightforward way for any number of receiver antennas by repeating the single receive antenna procedure. The output signals coming from the different decoders (one decoder per receive antenna) can be further combined using well known combining methods like maximum ratio combining for example. This combining step leads to a signal-to-noise ratio improvement, due to the array gain.
The example is based on a 31 MISO (Multiple Input/Single Output) system, where matrix H3 has been used at the transmitter (see FIG. 5).
The H3 matrix is split into its real and imaginary components as in Equation 2. As already set out previously, the number of rows M in that representation is equal to the code block length and the number of columns N to the number of transmit antennas. From this the matrices Tsg_I and Tind_I of Eq. 3 can be derived in a straightforward way.
At the STBC decoder in the receiver, a signal is obtained that is denoted r (depicted by the [r1 r2 r3 . . . ] in FIG. 5). The channel coefficients are called h1 for TX antenna 1 to RX antenna 1, h2 for TX2 to RX1 and h3 for TX3 to RX1. The channel coefficients hi,j are assumed constant over one space time block.
In a first step the received vector r at the input of the STBC decoder is cut in blocks of the block code length M. For H3, this length is 4 (the encoding process takes L=3 in and outputs M=4 symbols, which have to be decoded at the receiver side, thus decoding block length is 4). This is equal to the number of rows of the I and Q matrixes in equation 2.
In the following step each block is treated separately. In H3 an encoded block has a length of 4. The data to be treated is the received (complex) symbols vector r at the input of the decoder. Each symbol is called rp, p is a number comprised between 1 and the block length M, so between 1 and 4.
For this block, the channel estimation process (for a separate block) provides the channel coefficients vector [h1 h2 h3].
The decoder output is a block (vector) of a length equal to the input block length M times the block rate. In this example, that gives 4=3. This block is called x and xk denotes the kth value (hence, k is a value between 1 and 3).
In the third step, for each k the following procedure is repeated:
real (ix1)=TsgI(1, 1)*(real (h1,j)*real (r1)+imag (h1,j)*imag (r1))
As there is only one RX antenna, j equals 1. Then the real(ix1) is accumulated:
accrixp=accrixp+real (ix1) .
Note that acc_r_ixp is reset for each value of k (after accumulation of p values).
For p=2 and 3, the same as p=1 is repeated as the 2nd and 3rd rows of Tind_I contain the value k. For p=4, the 4th row does not contain k. t is set to 0 and Tsg_I gives a 0, resulting in real (ix4)=0.
After step 3, one block is decoded and the next block decoding operation can start.
This way the decoding process can be very easily implemented in hardware. An example of implementation is given in FIG. 6.
Each block of received data R=[r1 . . . r4] is stored in a buffer. At the same time, the channel estimation vector H=[h1 h2 h3] is stored in a buffer. A counter generates k=1 to 3. For each k, another counter generates p=1 to 4. For each p, the block containing Tind_I(Q) outputs p and t, whereby t corresponds to the index (from 1 to 3) where k is found in row p. If k is not found, t=0. Parameters t and p are used as addresses for the two buffers containing the H and R vectors. t and p are also used as indexes in the array Tsg_I(Q). If t is 0, the output of the block containing Tsg_I(Q) is 0. The block Acc I(Q) accumulates the results of the multiplication of Tsg_I(Q) and (real(ht,j)*real(rp)+imag(ht,j)*imag(rp)) For Acc_Q (real(ht,j)*imag(rp)imag(ht,j)*real(rp)) is accumulated. The accumulation is reset after each k step. The accumulator outputs in each k step are the decoded data.
The process is valid and has been verified with all generalized complex orthogonal designs codes present in Tarokh and Alamouti papers.