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Inphase quadrature signal intelligence quotient (IQ) data compression method and device
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A data compression, in-phase and quadrature technology, applied in the field of mobile communications, can solve the problems of high optical port rate and increased equipment hardware cost, and achieve the effect of reducing demand and cost
Active Publication Date: 2011-05-25
ZTE CORP
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[0010] The present invention provides an IQ data compression method and device to solve the problem of increased equipment hardware cost caused by excessive optical port rate in the prior art
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example 1
[0047] Figure 6 It is a schematic diagram of Example 1 of the embodiment of the present invention, such as Figure 6 As shown, including the following processing:
[0048] Step 1, assuming that data compression is performed every 4 sampling points, and assuming that the IQ data are all positive numbers, first divide the continuous data streams into groups of 4. It should be noted that when the IQ data is negative, you can follow Absolute value size for compression;
[0049] Step 2, find out that the largest data among the 4 data is WORD0;
[0050] Step 3, find out the valid data bit6~bit13 of the upper 8 bits of WORD0;
[0051] Step 4, delete bit0~bit5 and bit14 of WORD0 to obtain the compressed data of WORD0;
[0052] Step 5, for WORD1, WORD2 and WORD3, delete the corresponding bit0-bit5 and bit14 to obtain the corresponding compressed data;
[0053] Step 6, according to the deleted low bits are bit0-bit5, determine the compression factor to be 6;
[0054] Step 7: Acco...
example 2
[0056] Figure 7 It is a schematic diagram of Example 2 of the embodiment of the present invention, such as Figure 7 As shown, including the following processing:
[0057] Step 1, assuming that data compression is performed every 4 sampling points, and assuming that the IQ data are all positive numbers, first divide the continuous data streams into groups of 4. It should be noted that when the IQ data is negative, you can follow Absolute value size for compression;
[0058] Step 2, find out the largest data WORD0 among the 4 data;
[0059] Step 3, find out the valid data bit0~bit7 of the upper 8 bits of WORD0;
[0060] Step 4, delete bit8~bit14 of WORD0 to obtain the compressed data of WORD0;
[0061] Step 5, for WORD1, WORD2 and WORD3, delete the corresponding bit8-bit14 to obtain the corresponding compressed data;
[0062] Step 6, according to the reserved low 8 bits, determine that the compression factor is 0;
[0063] Step 7: The BBU side fills 7 0s in bit8-bit14 ac...
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Abstract
The invention discloses an intelligence quotient (IQ) data compression method and a device. The method comprises the following steps of: dividing m continuous IQ data into one group, and obtaining data with the maximum numerical value in each group of data; intercepting continuous n-bit seniority effective data and sign bits of the data with the maximum numerical value in the group of data, and deleting the rest low-bit data in the data with the maximum numerical value; intercepting the continuous n bit seniority effective data and sign bits of the other m-1 data in the group of data, and deleting the rest low-bit data in the other m-1 data; and determining compression factors of the group according to the bit number of the deleted low-bit data, and sending the compression factors and the compressed IQ data. When the technical scheme of the invention is adopted, the requirement of eNodeBwireless equipment on optical modules and optical fiber can be effectively reduced, and the cost of base station equipment is reduced.
Description
technical field [0001] The present invention relates to the field of mobile communication, in particular to an in-phase quadrature signal (In-phase Quadrature, IQ for short) data compression method and device. Background technique [0002] In a long term evolution (Long Term Evolution, LTE for short) wireless communication system, a radio access network is composed of an eNodeB (Evolved NodeB, eNodeB for short). figure 1 It is a schematic diagram of the radio remote structure in the distributed base station in the prior art, such as figure 1 As shown, the eNodeB is composed of an evolved indoor basebandprocessing unit (Evolved Building Base band Unit, referred to as eBBU) and an evolved radio remote unit (Evolved Radio Remote Unit, referred to as eRRU). The connection uses a common public radio interface (Common Public Radio Interface, referred to as CPRI for short) or an open wireless interface (Open Radio Interface, referred to as ORI) and other protocols for data exchan...
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