Data compression, transmission, receiving and uncompressing method and corresponding device

Abstract

The invention discloses a data compression, transmission, receiving and uncompressing method and a corresponding device, can achieve IQ data compression with low complexity and small error, and can achieve transmission of IQ data compressibility factors with fewer resources. The data compression method comprises reading data to be compressed, finding I data and Q data with maximum absolute values from a group of data to be compressed, determining an effective bit number M of the I data with the maximum absolute value and an effective bit number N of the Q data with the maximum absolute value, generating a first digital automatic gain control (DAGC) factor for compressing the I data according to the effective bit number M and a compressed target bit wide number X, generating a second DAGC factor for compressing the Q data according to the effective bit number N and the compressed target bit wide number X, using the first DAGC factor to compress each I datum in the group of data to be compressed, and using the DAGC factor to compress each Q datum in the group of data to be compressed.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a data compression, transmission, reception and decompression method based on a distributed base station and a corresponding device. Background technique [0002] In recent years, with the development of wireless communication technology, new base stations have gradually separated the baseband unit (BBU) and radio frequency unit (RRU) of traditional base stations, and the two are connected by optical fiber or cable. At the same time, some baseband radio frequency interface standards emerged, among which the Common Public Radio Interface (CPRI) is a baseband radio frequency interface standard widely used in base station equipment in the wireless communication field. [0003] Since the baseband unit (BBU) and the radio frequency unit (RRU) are connected by optical fiber or cable media, the data rate is very high, usually reaching several Gbps. Taking E-U...

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Problems solved by technology

[0005] The disadvantages of this data compression algorithm are: 1. When there is only a small amount of valid data in the compression cycle, data overflow after compression may occur, as shown in the attached figure 1 shown, because the average power of the real effective data may be greater than the target power P 0 , but the total average power P after power averaging with a lot of invalid 0 data mean It may be very small, so the obtained DAGC factor k value is positive instead, especially when there are many invalid 0 data, the k value is relatively large, which is equivalent to left-shifting and zooming in on the enlarged original data, which may cause compression After data overflow; 2. The implementation complexity is relatively large, because multi-bit multiplication, division, and logarithmic operations are required; 3. The implementation introduces relatively large errors, because the above-mentioned multi-bit multiplication, division, and logarithmic operations are implemented , especially when implemented with an FPGA, calculation errors may be introduced

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