CN112905946B - Variable symbol rate and arbitrary path parallel input interpolation method - Google Patents

Variable symbol rate and arbitrary path parallel input interpolation method Download PDF

Info

Publication number
CN112905946B
CN112905946B CN202110085533.4A CN202110085533A CN112905946B CN 112905946 B CN112905946 B CN 112905946B CN 202110085533 A CN202110085533 A CN 202110085533A CN 112905946 B CN112905946 B CN 112905946B
Authority
CN
China
Prior art keywords
data
input
parallel
paths
read
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110085533.4A
Other languages
Chinese (zh)
Other versions
CN112905946A (en
Inventor
高凯
朱江
姜南
杨军
尹丹玲
王新建
李二保
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Guoke Ruicheng Electronic Technology Co ltd
Original Assignee
Hunan Guoke Ruicheng Electronic Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hunan Guoke Ruicheng Electronic Technology Co ltd filed Critical Hunan Guoke Ruicheng Electronic Technology Co ltd
Priority to CN202110085533.4A priority Critical patent/CN112905946B/en
Publication of CN112905946A publication Critical patent/CN112905946A/en
Application granted granted Critical
Publication of CN112905946B publication Critical patent/CN112905946B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/16Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/18Negotiating wireless communication parameters
    • H04W28/22Negotiating communication rate

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Mathematical Optimization (AREA)
  • Algebra (AREA)
  • Pure & Applied Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Complex Calculations (AREA)

Abstract

The invention discloses a variable symbol rate and arbitrary path parallel input interpolation method, which comprises the following steps: s1: the upper computer inputs control parameters, mainly determining the parallel input path number P; s2: reading input data, and sequentially reading data of signal input x from the RAM; s3: calculating an error interval mu m by a mu value generator; s4: sequentially extracting [ x (n-P+1), & gtx (n-2), x (n-1), x (n) ] (n is greater than or equal to P) P-bit data from data read from the RAM, and substituting the P-bit data into a formula by combining mu nm valuesThe invention provides a variable symbol rate and arbitrary path parallel input interpolation method, which can realize modulation with a sampling rate from low to high and great change under the condition that the working clock of an FPGA system is not high.

Description

Variable symbol rate and arbitrary path parallel input interpolation method
Technical Field
The invention relates to the technical field of wireless communication synchronization, in particular to a variable symbol rate and random path parallel input interpolation method.
Background
It is often desirable in the fields of communications, radar, navigation, etc. to generate any symbol rate communication signals. More common methods for changing the symbol rate are to change the oversampling rate of the signal or to change the clock frequency, but both methods are complicated in hardware implementation, consume large amounts of hardware resources, and are therefore unsuitable for generating signals with a large range of symbol rates. The improved method is realized by combining filters, such as integer multiple interpolation and fractional multiple interpolation, FARROW and CIC, FARROW and HB, FIR and CIC, FIR and HB, and the like.
The conventional method of variable symbol rate achieves a limited range of symbol rate variation, typically from tens of Kbps to tens of Mbps. In practical engineering applications, this range of symbol rate variation is far from adequate. Because the working clock of the FPGA system is not high, the existing method needs to be innovated if the symbol change rate is from Kbps to Gbps and spans multiple orders of magnitude.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a variable symbol rate interpolation method capable of inputting any paths in parallel.
The technical scheme of the invention is as follows: a variable symbol rate and arbitrary path parallel input interpolation method is characterized by comprising the following steps:
S1: the upper computer inputs control parameters, mainly determining the parallel input path number P;
S2: the input data is read and the data of the signal input x is sequentially read from the RAM. In practical application, because the input data is longer, the whole input data is stored into the RAM at one time, so that too much resources are occupied, the data is generally read in sections, and if the data is input in parallel in P paths, the data with the length of 3P-4P is stored into the RAM;
S3: the error interval mu m is calculated by a mu value generator, mainly by the formula Wherein T x is the transmitter signal period, T y is the receiver signal period, μ m ε [0, 1); when the path number P paths are input in parallel, mu m is also the path number P paths for parallel calculation and input;
S4: sequentially extracting [ x (n-P+1), & gtx (n-2), x (n-1), x (n) ] (n is greater than or equal to P) P-bit data from data read from the RAM, and substituting the P-bit data into a formula by combining mu nm values And calculating to obtain a corresponding output y sum value.
Preferably, the control parameters further include a total length L of data, divided into M segments, each segment length N, an output sampling clock T y, and an input sampling clock T x.
Preferably, the number of paths P ranges from 1 path to 8 paths.
Preferably, the number of paths P is 4.
Preferably, the read input data is the first 16 bits of data of sequential read signal input, named x_in.
Preferably, when the path number P is 4 paths of parallel input, mu m is also 4 paths of parallel calculation and input;
four parallel inputs of the first round mu m, selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (1), y (2), y (3), y (4) ] in parallel;
four parallel inputs of the second round mu m, selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (5), y (6), y (7), y (8) ];
When [ x_in (13), x_in (14), x_in (15), x_in (16) ] is read, the 16 data of x_in is updated, the new array retains the last 8 bits of data of the previous group, and x 8 bits of data x (17) to x (24) are sequentially supplemented, namely updated x_in= [ x (9), x (10), …, x (16), x (17), …, x (24) ].
Repeating S1-S3, and when the data of the last group x is read and the number of the residual data is smaller than 8, adding zero to the insufficient digits to x_in.
Compared with the prior art, the invention has the following beneficial effects:
Compared with the prior art, if a multiphase structure is adopted to realize sampling rate conversion, a large amount of resources can be occupied under certain conditions; most of the prior art is serial structure to realize sampling rate conversion, and has low efficiency. The invention has the following benefits: modulation with a sampling rate that varies greatly from low to high can be realized under the condition that the working clock of the FPGA system is not high.
Drawings
FIG. 1 is a system block diagram of a P-way parallel input;
FIG. 2 is a diagram of a variable symbol rate;
FIG. 3 is an original Gaussian power spectrum;
FIG. 4 is a Gaussian power spectrum after 2 times FARROW interpolation;
Fig. 5 is a graph of symbol rate versus parallel input path number.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that, in terms of "front", "rear", "left", "right", "upper", "lower", etc., the directions or positional relationships indicated are based on the directions or positional relationships shown in the drawings, which are merely for convenience in describing the present invention and simplifying the description, but are not meant to indicate or imply that the devices or elements to be referred to must have specific directions, be configured and operated in specific directions, and thus should not be construed as limiting the present invention, the technical solutions of the embodiments of the present invention may be combined, and the technical features of the embodiments may also be combined to form a new technical solution.
Referring to fig. 1 to 5, the present invention provides the following technical solutions: a variable symbol rate and arbitrary path parallel input interpolation method is characterized by comprising the following steps:
S1: the upper computer inputs control parameters, mainly determining the parallel input path number P;
S2: the input data is read and the data of the signal input x is sequentially read from the RAM. In practical application, because the input data is longer, the whole input data is stored into the RAM at one time, so that too much resources are occupied, the data is generally read in sections, and if the data is input in parallel in P paths, the data with the length of 3P-4P is stored into the RAM;
S3: mu m is calculated by a mu value generator, mainly by the formula Wherein T x is the transmitter signal period, T y is the receiver signal period, μ m ε [0, 1); when the path number P paths are input in parallel, mu m is also the path number P paths for parallel calculation and input;
S4: sequentially extracting [ x (n-P+1), & gtx (n-2), x (n-1), x (n) ] (n is greater than or equal to P) P-bit data from data read from the RAM, and substituting the P-bit data into a formula by combining mu nm values And calculating to obtain a corresponding output y sum value.
Further, the control parameters further include a total length L of the data, a division into M segments, a length N of each segment, an output sampling clock T y, and an input sampling clock T x.
Further, the number of paths P ranges from 1 to 8.
Further, the number of paths P is 4.
Further, the read input data is the first 16-bit data of the sequential read signal input, and is named as x_in.
Furthermore, when the number of paths P is 4 paths of parallel input, mu m is also 4 paths of parallel calculation and input;
four parallel inputs of the first round mu m, selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (1), y (2), y (3), y (4) ] in parallel;
four parallel inputs of the second round mu m, selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (5), y (6), y (7), y (8) ];
When [ x_in (13), x_in (14), x_in (15), x_in (16) ] is read, the 16 data of x_in is updated, the new array retains the last 8 bits of data of the previous group, and x 8 bits of data x (17) to x (24) are sequentially supplemented, namely updated x_in= [ x (9), x (10), …, x (16), x (17), …, x (24) ].
Repeating S1-S3, and when the data of the last group x is read and the number of the residual data is smaller than 8, adding zero to the insufficient digits to x_in.
Examples
Let p=4, m=20, n=267, Δμ=0.534.
The method comprises the following steps:
Step S1: reading input data
The first 16 bits of data of signal input x are sequentially read, named x_in.
Step S2: mu m was calculated.
The calculation formula of v is as follows:
Combined (1): with known inputs, the most critical is to calculate the output, and to find the error interval μ m.
When (when)When used, mu m is shown in Table 1.
TABLE 1
m 1 2 3 4 5 6 7 8 9 10 11 ...
μm 0 0.534 0.068 0.602 0.136 0.670 0.204 0.738 0.272 0.806 0.340 ...
Step S3: substituting the input data into a formula to calculate to obtain a corresponding output y value
In the case of four-way parallel input, mu m is also four-way parallel calculation and input.
Four parallel inputs [0,0.534,0.068,0.602] of the first round mu m, and selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (1), y (2), y (3), y (4) ]';
four parallel inputs [0.136,0.670,0.204,0.738]', of the second round μ m, select the corresponding 4 x_in inputs
Parallel output [ y (5), y (6), y (7), y (8) ] after passing through the FARROW structure;
When [ x_in (13), x_in (14), x_in (15), x_in (16) ] is read, the 16 data of x_in is updated, the new array retains the last 8 bits of data of the previous group, and x 8 bits of data x (17) to x (24) are sequentially supplemented, namely updated x_in= [ x (9), x (10), …, x (16), x (17), …, x (24) ].
Repeating the steps S1-S3, and when the data of the last group x is read and the number of the residual data is smaller than 8, adding zero to the insufficient number of bits to x_in.
The steps are operation of 4 paths of parallel time, and other parallel paths are processed in a conventional way.
Fig. 2 is a diagram of a variable symbol rate. On the basis of figure 1, n-1 paths (n paths in parallel) are combined.
Any path of parallel input and any symbol rate conversion can be realized.
Fig. 2 is a graph of noise power before and after the FARROW interpolation filter.
In this embodiment, the system operating frequency f s =1000 Hz, and the data with the code rate of R b =10 Kbps corresponding to the continuous variable rate digital filter processing method of the present invention is subjected to variable rate interpolation filtering processing with interpolation multiple of 2 times. The filter adopts a third-order FIR filter, and the coefficients of the FIR filter are quantized by 32 bits.
The original Gaussian power spectrum and the Gaussian power spectrum subjected to 2 times of FARROW interpolation are obtained through simulation, and the detail is shown in the accompanying drawings 3 and 4.
The principle of the invention is as follows:
The general resampling mathematical model is that the sampled signal x (nT x) passes through the interpolator h (·) to output a signal Resampling the signal at time t=mt y, then outputting the signalT x is the sampling interval, m ε Z, and T y is the sampling interval of the receiver.
According to the implementation principle of the FARROW filter, in order to make the sampling rates of the receiving and transmitting sides consistent, the sampling rate conversion must be performed, and the conversion formula is as follows:
Wherein the method comprises the steps of K m is the interpolation base, μ m is the error interval, determine the interpolation filter impulse response coefficient, μ m∈[0,1),km ε N,
Simplifying (2) to obtain:
Let k=k m -n, formula (3) can be expressed as:
To reduce the computation of the system function h (·) a polynomial expansion is typically used, taking the lagrangian polynomial approximation as an example, with:
Wherein, For the coefficients of the FARROW filter, l and k represent the number of rows and columns, respectively, and in combination with equation (5), equation (3) can be converted to the following expression:
simplifying (6) to obtain:
Wherein the method comprises the steps of
When P paths of parallel input are performed, the total output y sum expression is as follows:
Wherein μ nm represents μ m value corresponding to the nth output, p∈n +,Q∈N+.
The input end is provided with P paths of parallel input, each path is provided with M sections, and the length of each section is N.
To ensure continuity of the data filtering output, there is overlap between segments, the head of each segment will be connected to the last three data of the tail of the previous segment, and the first segment will be filled with three zeros at the head of the segment.
The invention can realize any path of parallel input and the symbol rate can also be transformed in a large range.
Taking 200Mhz as an example of an FPGA system working clock, if the symbol rate is to be realized from 1Kbps to 1.6Gbps, the sampling rate is from 4Kbps to 4Gbps, only 8 groups of structures are needed to operate in parallel.
When 1-path is input, the symbol rate can be up to 200Mbaud/s, when 2-path is input in parallel, the symbol rate can be up to 400Mbaud/s, when 8-path is input in parallel, the symbol rate can be up to 1.6Gbaud/s, and the coverage range is from Kbps to Gbps. A wide range of symbol rates can be covered and matched, with the correspondence shown in fig. 5.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (2)

1. A variable symbol rate and arbitrary path parallel input interpolation method is characterized by comprising the following steps:
s1: the upper computer inputs control parameters and determines the number P of paths input in parallel;
S2: reading input data, sequentially reading data of signal input x from the RAM, reading the input data in a segmented mode, and storing data with the length of 3P-4P into the RAM if the input data are input in parallel in P paths;
S3: mu m is calculated by a mu value generator, the formula is Wherein T x is the transmitter signal period, T y is the receiver signal period, μ m ε [0, 1); when the path number P paths are input in parallel, mu m is also the path number P paths for parallel calculation and input;
S4: sequentially extracting [ x (n-P+1), & gtx (n-2), x (n-1), x (n) ] P bit data from data read from the RAM, wherein n is more than or equal to P, and substituting the n is more than or equal to P into a formula by combining mu nm value Calculating to obtain a corresponding output y sum value;
the number of paths P ranges from 1 path to 8 paths,
When the number of paths P is 4,
The read input data is the first 16 bits of data of the sequential read signal input, named x in,
When the number of paths P is 4, mu m is also 4 parallel calculation and input;
four parallel inputs of the first round mu m, selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (1), y (2), y (3), y (4) ] in parallel;
four parallel inputs of the second round mu m, selecting corresponding 4 x_in inputs to pass through the FARROW structure and then outputting [ y (5), y (6), y (7), y (8) ];
When [ x_in (13), x_in (14), x_in (15), x_in (16) ] is read, updating 16 data of x_in, reserving the last 8 bits of data of the previous group by the new array, and sequentially supplementing 8 bits of data x (17) -x (24) of x, namely, updated x_in= [ x (9), x (10), …, x (16), x (17), …, x (24) ];
Repeating S1-S3, and when the data of the last group x is read and the number of the residual data is smaller than 8, adding zero to the insufficient digits to x_in.
2. The method of claim 1, wherein the control parameters further include a total length L of the data, a division into M segments, a length N of each segment, a receiver signal period T y, and a transmitter signal period T x.
CN202110085533.4A 2021-01-22 2021-01-22 Variable symbol rate and arbitrary path parallel input interpolation method Active CN112905946B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110085533.4A CN112905946B (en) 2021-01-22 2021-01-22 Variable symbol rate and arbitrary path parallel input interpolation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110085533.4A CN112905946B (en) 2021-01-22 2021-01-22 Variable symbol rate and arbitrary path parallel input interpolation method

Publications (2)

Publication Number Publication Date
CN112905946A CN112905946A (en) 2021-06-04
CN112905946B true CN112905946B (en) 2024-07-12

Family

ID=76118310

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110085533.4A Active CN112905946B (en) 2021-01-22 2021-01-22 Variable symbol rate and arbitrary path parallel input interpolation method

Country Status (1)

Country Link
CN (1) CN112905946B (en)

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112165367A (en) * 2020-11-19 2021-01-01 湖南国科锐承电子科技有限公司 Wireless fading channel simulation method and channel simulator for parallel multi-channel independent signals

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5541864A (en) * 1994-04-26 1996-07-30 Crystal Semiconductor Arithmetic-free digital interpolation filter architecture
KR100217042B1 (en) * 1997-04-29 1999-09-01 서평원 Decoding processing method of viterbi decoder
CN106209319B (en) * 2016-07-15 2019-08-06 广州海格通信集团股份有限公司 A kind of modem devices that supporting optional sign rate and implementation method
CN106484658B (en) * 2016-09-26 2019-01-11 西安电子科技大学 The device and method of 65536 pulses compression is realized based on FPGA
CN111212007A (en) * 2020-04-20 2020-05-29 成都新动力软件有限公司 Universal 600Mbps intermediate-speed demodulator implementation method and modem
CN111930046A (en) * 2020-08-17 2020-11-13 湖南艾科诺维科技有限公司 FPGA-based signal interpolation method and signal acquisition and playback method
CN112104586B (en) * 2020-11-16 2021-01-29 湖南国科锐承电子科技有限公司 Method for realizing frame synchronization and parallelism of high-speed data transmission system based on FPGA

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112165367A (en) * 2020-11-19 2021-01-01 湖南国科锐承电子科技有限公司 Wireless fading channel simulation method and channel simulator for parallel multi-channel independent signals

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于 FPGA 的 SRRC 滤波及多速率变换;杨阳 等;《微电子技术》;第44卷(第10期);41-44 *

Also Published As

Publication number Publication date
CN112905946A (en) 2021-06-04

Similar Documents

Publication Publication Date Title
US3973081A (en) Feedback residue compression for digital speech systems
RU2189109C2 (en) Finite impulse response filter built around rom for mobile telephone set
US5353026A (en) Fir filter with quantized coefficients and coefficient quantization method
CN105656604A (en) Bit interleaved polar code modulation method and apparatus
WO1999017221A1 (en) Method for efficiently computing sequence correlations
CN1790968B (en) Method and apparatus of two stage scaling and quantization for coded communication systems
EP1753135B1 (en) High speed digital delta-sigma modulator with integrated upsampler
CN101902228B (en) Rapid cyclic redundancy check encoding method and device
CN109802687B (en) High-speed code rate compatible LDPC encoder of QC-LDPC code based on FPGA
US4051470A (en) Process for block quantizing an electrical signal and device for implementing said process
JPH0799510A (en) Method and apparatus for transmission of data via intersymbol interference channel
CN101282322A (en) Built-in digital filter apparatus for physical layer of wireless intermediate-range sensing network
CN103944575A (en) Oversampling 64-time sigma-delta modulation circuit with effective bit being 18
Bai et al. Blind system identification and channel equalization of IIR systems without statistical information
CN112905946B (en) Variable symbol rate and arbitrary path parallel input interpolation method
Pimentel et al. Enumeration of Markov chains and burst error statistics for finite state channel models
CN116318051B (en) Digital shaping filter method and device, digital shaping filter and electronic equipment
US4423488A (en) Digital filter employing PROM for storing positive and negative impulse response values
JP6744982B2 (en) One kind of fast decoding method, apparatus and OvXDM system applied to OvXDM system
CN110957996A (en) Multiplier-free FRM filter bank optimization design method based on ABC algorithm
JP6723429B2 (en) One kind of decoding method, apparatus and OvXDM system applied to OvXDM system
US8739000B2 (en) Multi-modal signal processing with linearization
Aviran et al. An improvement to the bit stuffing algorithm
CN110635780A (en) Variable-rate baseband pulse shaping filter implementation method based on FPGA and filter
CN111654349B (en) Frame synchronization method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant