Multi-address coding, transmitting and decoding methods and devices and systems thereof
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A coding method and coding technology, applied in the fields of multiple access coding, decoding, and transmission, can solve the problems of system interference, affect system performance, and large interference, achieve high coding gain, improve system performance, and avoid system interference.
Inactive Publication Date: 2010-03-03
北京清深技术开发中心有限公司
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Problems solved by technology
[0007] 1. The multi-user joint detection in the prior art generally does not use the ideal multi-user sequence joint detection, most of them use symbol-by-symbol joint detection, which needs to use all channel and user parameters, including adjacent cell channel and user parameters, and adjacent cell Channel and user parameters, including the number of address users, their respective arrival times and signal power, are mostly random or uncontrollable, and it is difficult to achieve ideal detection
Some simple detection regards all or part of the signals of neighboring cells as interference, but this interference is often very large, which will seriously affect system performance
Ultimately, multi-user joint detection will not be possible, or the performance will be very poor
[0008] 2. The waveform design of asynchronous multiple access users is related to the number of addresses and their relative delay. However, the cross-correlation function determined by the address number and the autocorrelation function determined by the relative delay cannot both achieve the best performance, which not only brings system interference, but also Moreover, it is difficult to achieve the best system capacity, spectrum efficiency and performance.
Method used
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example 1
[0081] Example 1: If Here +, - represent +1 and -1 respectively, possible There are many solutions such as: +0+; -0-; +j+; +j+; -j-; -j-, etc.
[0082] in · ‾ = ^ - · , The same below.
example 2
[0083] Example 2: If possible Solution has
[0084] 2 - 1,1 , - 1 2 - 1 ; 2 + 1,1 , - 1 2 + 1 ; a , - 2 a a 2 - 1 , - 1 a etc., where a is any real number not equal to +1 or -1.
example 3
[0085] Example 3: If One solution for
[0086] 1, 4, 0, 0, -1, etc.
[0087] It is easy to check that all three examples above satisfy the requirement of complementarity. sometimes primary Inappropriate value, then may be unresolved; or despite There is a solution, but it is not convenient for engineering application. At this time, it needs to be readjusted value until the and values are satisfactory.
[0088] (6) According to (3), because there are two shortest lengths L 01 , L 02 , then repeat (4), (5), and solve two pairs ( )and( ).
[0089] in
[0090]
[0091] And according to the following rules, the length is 2L 01 × L 02 The complete complementary code pair of ( ),in
[0092]
[0093] S 11 ′ ( S 21 ′ , S 22 ′ , ...
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Abstract
The invention discloses a multi-address coding method which comprises the steps of expanding complete complementary orthogonal code antithesis to generate general complementary orthogonal code group, expanding the general complementary orthogonal code group and an extended matrix to generate extended general complementary orthogonal code group, and adopting the extended general complementary orthogonal code group and a shift code group thereof to conduct multi-address coding to the transmission data, wherein the autocorrelation function of the general complementary orthogonal code group is a bump function and all the positions of a cross-correlation function are zero. The invention also discloses a multi-address transmitting method, a multi-address decoding method, a multi-address coding device, a multi-address transmitting device, a multi-address decoding device and corresponding communication systems. The invention can realize that multi-address systems can share channel capacity C, thus reducing system interference, greatly improving system performance, and improving spectrum effectiveness of the system.
Description
technical field [0001] The present invention relates to the field of communication technology, in particular to methods, devices and systems for multiple access coding, transmission and decoding. Background technique [0002] As we all know, for any given communication channel, there is an insurmountable maximum transmission rate, that is, the channel capacity C. The conclusion of single-user information theory is: through the excellent coding of long constraints, the actual transmission rate R can be forced to C, but cannot exceed C. The conclusion of multi-user information theory of multi-address user common channel is: although the transmission rate of each address user cannot be greater than C, but when the user waveform satisfies the optimal coding relationship, the total system transmission rate can be greater than or even much greater than C, that is, the address user can Shared channel capacity C. [0003] Existing multiple access technologies such as frequency div...
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