CN106161324A - A kind of signal to noise ratio determines method and device - Google Patents
A kind of signal to noise ratio determines method and device Download PDFInfo
- Publication number
- CN106161324A CN106161324A CN201510180535.6A CN201510180535A CN106161324A CN 106161324 A CN106161324 A CN 106161324A CN 201510180535 A CN201510180535 A CN 201510180535A CN 106161324 A CN106161324 A CN 106161324A
- Authority
- CN
- China
- Prior art keywords
- signal
- window
- time domain
- noise
- sequence
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/26—Systems using multi-frequency codes
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Noise Elimination (AREA)
Abstract
The present invention provide one make an uproar ratio determine method and device, the problem complex in order to solve current signal to noise ratio assessment mode.Wherein signal to noise ratio determines that method includes: estimates to be divided into multiple signal transacting window by the time domain channel of the time domain correlation sequence receiving, searches for the position of peak signal footpath corresponding signal transacting window in multiple signal transacting windows；Respectively take the signal footpath of same number on the both sides adjacent away from position, calculate average signal power；Take the noise signal footpath of same number at the two ends farthest away from position, calculate the average noise power of noise signal；Determine signal to noise ratio according to average signal power and average noise power, this solution simplifies signal to noise ratio evaluation process, improve the efficiency of signal to noise ratio assessment.
Description
Technical field
The present invention relates to communication field, particularly relate to one make an uproar ratio determine method and device.
Background technology
For the communications field, it is highly important for carrying out estimation to channel quality, at present, and signal to noise ratio
Method of estimation is roughly divided into two big classes: a class is the blind estimating method based on unbound nucleus, and another kind of is base
Data auxiliary method of estimation in pilot tone.Blind estimating method is higher due to computation complexity, thereby increases and it is possible to phase occur
Position is fuzzy, error propagation and convergence slow or be absorbed in the problems such as local minimum, need long observed data,
Limit its application in real-time Communication for Power field to a certain extent, and data auxiliary method of estimation is estimated due to it
Meter speed is fast, and the higher application of accuracy is relatively broad.But, at the antenna calibration application scenarios of OFDM
In, if using blind estimating method to carry out signal-to-noise ratio (SNR) estimation, then realize that process is complex, it is possible to make
Use data-aided method of estimation, but current data auxiliary method of estimation only propose can be according to sending
Data and the data receiving calculate the unknown quantity in the passage of transmission data, and not clear and definite the method
How to calculate at various application scenarios.Therefore, data also cannot be used at present auxiliary based on prior art
Help method of estimation to carry out OFDM antenna rectification.
Content of the invention
The present invention provides one ratio of making an uproar to determine method and device, in order to solve cannot to use at present data auxiliary to estimate
Meter method carries out the complex problem of OFDM antenna calibration.
According to an aspect of the invention, it is provided a kind of signal to noise ratio determines method, comprising: by receive
The time domain channel of time domain correlation sequence is estimated to be divided into multiple signal transacting window, searches in multiple signal transacting windows
The position of peak signal footpath corresponding signal transacting window；Respectively take the letter of same number on the both sides adjacent away from position
Number footpath, calculates average signal power；Take the noise signal footpath of same number at the two ends farthest away from position,
Calculate the average noise power of noise signal；Determine letter according to average signal power and average noise power
Make an uproar ratio.
Wherein, take the noise signal footpath of same number at the two ends farthest away from position, calculate the flat of noise signal
Equal noise power, comprising: respectively take (L-2T)/2 noise signal, noise signal in left and right farthest away from position
Average noise power beWherein, T for allow maximum when inclined, L be at signal
The length of reason window, Ni are average noise power, hlThe signal of (j) noise path by being taken in signal transacting window
Value.
Further, said method also includes: the time domain channel in the time domain correlation sequence that will receive is estimated
Before being divided into multiple signal transacting window, the time domain correlation sequence receiving is carried out Fast Fourier Transform (FFT)
FFT, obtains frequency domain data；Obtain channel frequency estimated sequence according to frequency domain data and pilot signal；Right
Channel frequency estimated sequence carries out inverse fast fourier transform IFFT, and the time domain channel obtaining correction sequence is estimated
Sequence.
Wherein, the time domain channel of the time domain correlation sequence receiving is estimated to be divided into multiple signal transacting window, bag
Include: the time domain channel estimated sequence of the time domain correlation sequence receiving is divided into N number of signal transacting window, and N is
The number of the time domain correlation sequence receiving.
Wherein, the center of multiple signal transacting windows is (n-1) * L/2+ (n-1) * L, n=1,2 ... N,
Wherein N is the number of signal transacting window, and L is the length of the signal transacting window that time domain correlation sequence divides；?
The position of big signal footpath corresponding signal transacting window is the relative position relative to multiple signal transacting windows.
According to another aspect of the present invention, provide a kind of signal to noise ratio and determine device, comprising: search module,
For estimating to be divided into multiple signal transacting window the time domain channel of the time domain correlation receiving sequence, at multiple letters
Number process the position of search peak signal footpath corresponding signal transacting window in window；First computing module, is used for
The both sides adjacent away from position respectively take the signal footpath of same number, calculate average signal power；Second calculating mould
Block, for taking the noise signal footpath of same number at the two ends farthest away from position, calculates the average of noise signal
Noise power；Determining module, for determining signal to noise ratio according to average signal power and average noise power.
Wherein, the second computing module is used for: respectively take (L-2T)/2 noise signal in left and right farthest away from position,
The average noise power of noise signal isWherein, T for allow maximum when inclined, L
Length, Ni for signal transacting window are average noise power, hlJ () is by processing the interior noise path being taken of window
Signal value.
Further, said apparatus also includes: the first conversion module, at the time domain correlation that will receive
Before the time domain channel of sequence is estimated to be divided into multiple signal transacting window, the time domain correlation sequence receiving is carried out
Fast Fourier Transform (FFT) FFT, obtains frequency domain data；Estimation module, for according to frequency domain data and pilot tone
Signal obtains channel frequency estimated sequence；Second conversion module, for carrying out inverse to channel frequency estimated sequence
Fast Fourier Transform (FFT) IFFT, obtains the time domain channel estimated sequence of correction sequence.
Wherein, the first conversion module is used for: the time domain channel estimated sequence of time domain correlation sequence that will receive
Being divided into N number of signal transacting window, N is the number of the time domain correlation sequence receiving.
Wherein, the center of multiple signal transacting windows is (n-1) * L/2+ (n-1) * L, n=1,2 ... N,
Wherein N is the number of signal transacting window, and L is the length of the signal transacting window that time domain correlation sequence divides；?
The position of big signal footpath corresponding signal transacting window is the relative position relative to multiple signal transacting windows.
The present invention has the beneficial effect that:
The scheme that the embodiment of the present invention provides, the time domain channel of the time domain correlation sequence by receiving is estimated
It is divided into multiple signal transacting window, multiple signal transacting windows are searched for peak signal footpath corresponding signal transacting window
Position；Respectively take the signal footpath of same number on both sides adjacent with position, calculate average letter according to signal footpath
Number power；Take the noise signal footpath of same number away from farthest two ends, maximum diameter position in signal transacting window, meter
Calculate the average noise power of noise signal；Determine noise according to average signal power and average noise power
Ratio, which, compared with existing signal to noise ratio appraisal procedure, reduces the complexity of operation, improves assessment letter
Make an uproar than efficiency, and ensure certain precision.
Brief description
Fig. 1 is the flow chart that the signal to noise ratio of the embodiment of the present invention 1 determines method；
Fig. 2 is the structured flowchart that the signal to noise ratio of the embodiment of the present invention 3 determines device.
Detailed description of the invention
The problem relatively low in order to solve prior art current signal to noise ratio assessment mode accuracy, the invention provides
One ratio of making an uproar determines method and device, below in conjunction with accompanying drawing and embodiment, carries out the present invention further in detail
Describe in detail bright.It should be appreciated that specific embodiment described herein, only in order to explain the present invention, does not limit
The present invention.
Embodiment 1
Present embodiments providing one and determining method based on correction sequence signal to noise ratio, Fig. 1 is the embodiment of the present invention
The signal to noise ratio of 1 determines the flow chart of method, as it is shown in figure 1, the method comprises the steps:
Step 101: the time domain channel of the time domain correlation sequence receiving is estimated to be divided into multiple signal transacting window,
The position of peak signal footpath corresponding signal transacting window is searched in multiple signal transacting windows；
Before this step 101, can also include processing the following of the time domain correlation sequence receiving:
Before the time domain channel of the time domain correlation receiving sequence is estimated to be divided into multiple signal transacting window, will
The time domain correlation signal receiving carries out Fast Fourier Transform (FFT) FFT, obtains frequency domain data；According to frequency
Numeric field data and pilot signal obtain channel estimation in frequency domain sequence, concrete, can be by frequency domain data with lead
Frequently the conjugation of signal does multiplication calculating, or obtains channel estimation sequence with by frequency domain data divided by pilot signal；
Carry out inverse fast fourier transform IFFT conversion to channel estimation sequence, obtain the time domain of time domain correlation sequence
Channel is estimated.
Division signals process window to the time domain correlation sequence receiving can be specifically the time domain that will receive
The time domain channel of correction sequence is estimated to be divided into n signal transacting window, and the time domain correlation sequence of correction comes from n
The time domain receiving for example, if time domain correlation sequence comes from 8 antenna base stations, is then rectified by antenna base station
Positive sequence is divided into 8 signal transacting windows, and wherein, the center of multiple signal transacting windows is (n-1)
* L/2+ (n-1) * L, n=1,2 ... N, wherein N is the number of signal transacting window, and L is temporal partitioning
The length of signal transacting window；The position of peak signal footpath corresponding signal transacting window is corresponding multiple signals
Process the position of window.
Step 102: respectively take the signal footpath of same number on both sides adjacent with position, calculate according to signal footpath
Average signal power；
Step 103: take the noise signal footpath of same number at two ends farthest away from position, calculates noise signal
Average noise power；
Due to the lack of uniformity of signalling channel, each signalling channel may have different time delays, permits in time delay
Estimate in the range of being permitted that effective signal to noise ratio can improve the accuracy of the signal to noise ratio estimating to obtain, therefore, at meter
Calculate noise signal average noise power when can by admissible maximum when partially take into account, based on this,
Take the noise signal of same number at two ends, position, calculate the average noise power of noise signal, comprising:
Respectively taking (L-2T)/2 noise signal about position, the average noise power of noise signal isWherein, for T for allow maximum when inclined, signal transacting window that L is temporal partitioning
Length, Ni be average noise power, partially for situation during ± T, complexity when the method can be applicable to
Low, it is adaptable to quickly to judge the needs of channel quality.
Step 104: determine signal to noise ratio according to average signal power and average noise power.
The signal-noise ratio estimation method more existing signal to noise ratio appraisal procedure of the present embodiment is simple to operate, can reduce simultaneously
Signals leakiness for the impact of signal-to-noise ratio (SNR) estimation, and adapt to a certain size when inclined, and computation complexity is low,
Solve the relatively low problem of prior art current signal to noise ratio assessment mode accuracy.
Embodiment 2
To above-mentioned signal to noise ratio, the present embodiment determines that method is further described by two embodiments:
Example 1
If base station is 8 antennas, carry out uplink antenna correction, then the correction sequence receiving is 8, each
A length of 512 points of correction sequence, as a example by antenna channels 0 therein, illustrate signal-to-noise ratio (SNR) estimation concrete steps:
512 the time domain correlation sequences receiving are carried out 512 FFT, obtain frequency domain by step one
Data F (i), i=1,2 ..., 512；
Frequency domain data F (i) is obtained LS channel divided by pilot signal S (i) and estimates H (i) by step 2；
Step 3, then channel is estimated, and H (i) carries out IFFT and transforms to time domain, obtain h (i)；
Step 4, using the 1/8 of pilot length as the long L=64 of window, due to up correction and only choose passage 0,
So time domain peak only one of which, the center of time domain window is 0, the signal h in whole window1(k),
K=[512-32+1:512,1:32]；
Step 5, at window h1K in (), the position of search maximum diameter, is designated as A, A=max (h1(k)),
Take each 1 footpath, the left and right adjacent with A as signal footpath, averagely obtain its signal power Ps,
Ps=1/3* (hl(A-1)+hl(A)+hl(A+1))；
Step 6, takes h1Away from the left side (64-2*16)/2 and the right (64-2*16)/2 of A in (k) window
Individual (64-2*16)=32 point altogether, as noise signal, averagely obtains its noise power Ni,
Step 7, obtains the signal to noise ratio of passage 0, SNR=Ps/Ni.
Example 2
If base station is 8 antennas, carrying out uplink/downlink antenna correction, the correction sequence receiving is 8 same female codes
Different superpositions after channel for the cyclic shift, a length of 512 points of correction sequence, equally as a example by passage 0
Signal-to-noise ratio (SNR) estimation concrete steps are described:
512 the time domain correlation sequences receiving are carried out 512 FFT, obtain frequency domain by step one
Data F (i), i=1,2 ..., 512；
Frequency domain data F (i) is obtained LS channel divided by pilot signal S (i) and estimates H (i) by step 2；
Step 3, then channel is estimated H (i) carry out IFFT and transform to time domain, obtain h (i)；
Step 4, using the 1/8 of pilot length as the long L=64 of window, due to for descending correction receiving sequence, under
The different cyclically shifted sequences for same female code that the every antenna of row sends, so time domain peak every antenna correspondence one
Individual, position is different, has eight, and the center of time domain window is 0, and 448,384,320,256,192,
128,64, in the corresponding window of passage 0, signal is h1(k), k=[512-32+1:512,1:32]；
Step 5, at window hlK in (), the position of search maximum diameter, is designated as A, A=max (hl), takes and A
Its signal power Ps, as signal footpath, is averagely obtained in each 1 footpath, adjacent left and right,
Ps=1/3* (hl(A-1)+hl(A)+hl(A+1))；
Step 6, takes window h1Away from the left side (64-2*16)/2 and the right (64-2*16)/2 of A in (k)
Individual (64-2*16)=32 point altogether, as noise signal, averagely obtains its noise power Ni,
Step 7, obtains the signal to noise ratio of passage 0, SNR=Ps/Ni.
Embodiment 3
Present embodiments providing a kind of signal to noise ratio and determining device, this device is used for realizing above-mentioned signal to noise ratio determination side
Method, Fig. 2 is the structured flowchart that the signal to noise ratio of the embodiment of the present invention 3 determines device, as in figure 2 it is shown, this dress
Put 20 and include following part:
Search module 21, for estimating to be divided into multiple signal the time domain channel of the time domain correlation sequence receiving
Process window, multiple signal transacting windows are searched for the position of peak signal footpath corresponding signal transacting window；Wherein,
The center of multiple signal transacting windows is (n-1) * L/2+ (n-1) * L, n=1,2 ... N, wherein N is
The number of signal transacting window, L is the length of the signal transacting window of temporal partitioning；The corresponding letter in peak signal footpath
The position number processing window is the position of corresponding multiple signal transacting windows.
First computing module 22, for respectively taking the signal footpath of same number, according to letter on both sides adjacent with position
Number footpath calculates average signal power；
Second computing module 23, in the noise signal taking same number according to farthest two ends, position, calculating is made an uproar
The average noise power of acoustical signal；
Determining module 24, for determining signal to noise ratio according to average signal power and average noise power.
Wherein, the second computing module is used for: respectively take (L-2T)/2 noise signal, noise about position
The average noise power of signal isWherein, for T for allow maximum when inclined, L
The length of signal transacting window, Ni for temporal partitioning are average noise power.
Further, said apparatus 20 also includes: the first conversion module, in the time domain that will receive
Before the time domain channel of correction sequence is estimated to be divided into multiple signal transacting window, the time domain correlation signal that will receive
Carry out Fast Fourier Transform (FFT) FFT, obtain frequency domain data；Estimation module, for according to frequency domain data
And pilot signal obtains channel estimation in frequency domain sequence；Second conversion module, for channel estimation in frequency domain sequence
Row carry out inverse fast fourier transform IFFT conversion, and the time domain channel obtaining time domain correlation sequence is estimated.
Wherein, above-mentioned first conversion module specifically may be used for: the time domain of time domain correlation sequence that will receive
Channel is estimated to be divided into N number of signal transacting window, and the time domain correlation sequence of correction comes from N antenna base station.
Although being example purpose, having been disclosed for the preferred embodiments of the present invention, those skilled in the art will
Recognize that various improvement, increase and replacement are also possible, therefore, on the scope of the present invention should be not limited to
State embodiment.
Claims (10)
1. a signal to noise ratio determines method, it is characterised in that include:
The time domain channel of the time domain correlation sequence receiving is estimated to be divided into multiple signal transacting window, described many
Individual signal transacting window is searched for the position of peak signal footpath corresponding signal transacting window；
Respectively take the signal footpath of same number on the both sides adjacent away from described position, calculate average signal power；
Take the noise signal footpath of same number at the two ends farthest away from described position, calculate described noise signal
Average noise power；
Determine signal to noise ratio according to described average signal power and described average noise power.
2. the method for claim 1, it is characterised in that described away from described position farthest two
End takes the noise signal footpath of same number, calculates the average noise power of described noise signal, comprising:
Respectively take (L-2T)/2 noise signal in left and right farthest away from described position, described noise signal average
Noise power isWherein, when described T is permission maximum, L inclined, described is institute
State the length of signal transacting window, described Ni is average noise power, described hlJ () is described signal transacting window
The signal value of interior taken noise path.
3. the method for claim 1, it is characterised in that described method also includes:
Before the time domain channel of the time domain correlation receiving sequence is estimated to be divided into multiple signal transacting window, will
The time domain correlation sequence receiving carries out Fast Fourier Transform (FFT) FFT, obtains frequency domain data；
Obtain channel frequency estimated sequence according to described frequency domain data and pilot signal；
Inverse fast fourier transform IFFT is carried out to described channel frequency estimated sequence, obtains described correction sequence
Time domain channel estimated sequence.
4. method as claimed in claim 3, it is characterised in that the described time domain correlation sequence that will receive
The time domain channel of row is estimated to be divided into multiple signal transacting window, comprising:
The time domain channel estimated sequence of the time domain correlation sequence receiving is divided into N number of signal transacting window, described
N is the number of the time domain correlation sequence receiving.
5. the method as described in Claims 1 to 4 any one, it is characterised in that at the plurality of signal
The center of reason window is (n-1) * L/2+ (n-1) * L, n=1,2 ... N, wherein said N are described
The number of signal transacting window, described L is the length of the signal transacting window that described time domain correlation sequence divides；
The position of the corresponding signal transacting window in described peak signal footpath is for relative to the plurality of signal transacting window
Relative position.
6. a signal to noise ratio determines device, it is characterised in that include:
Search module, for estimating to be divided at multiple signal the time domain channel of the time domain correlation sequence receiving
Reason window, searches for the position of peak signal footpath corresponding signal transacting window in the plurality of signal transacting window；
First computing module, for respectively taking the signal footpath of same number on the both sides adjacent away from described position, meter
Calculate average signal power；
Second computing module, for taking the noise signal footpath of same number at the two ends farthest away from described position,
Calculate the average noise power of described noise signal；
Determining module, for determining noise according to described average signal power and described average noise power
Ratio.
7. device as claimed in claim 6, it is characterised in that described second computing module is used for:
Respectively take (L-2T)/2 noise signal in left and right farthest away from described position, described noise signal average
Noise power isWherein, when described T is permission maximum, L inclined, described is institute
State the length of signal transacting window, described Ni is average noise power, described hlJ () is institute in described process window
The signal value of the noise path taking.
8. device as claimed in claim 6, it is characterised in that described device also includes:
First conversion module, for being divided into the time domain channel estimation of the time domain correlation receiving sequence multiple
Before signal transacting window, the time domain correlation sequence receiving is carried out Fast Fourier Transform (FFT) FFT, obtain frequency
Numeric field data；
Estimation module, for obtaining channel frequency estimated sequence according to described frequency domain data and pilot signal；
Second conversion module, for carrying out inverse fast fourier transform to described channel frequency estimated sequence
IFFT, obtains the time domain channel estimated sequence of described correction sequence.
9. device as claimed in claim 8, it is characterised in that described first conversion module is used for:
The time domain channel estimated sequence of the time domain correlation sequence receiving is divided into N number of signal transacting window, described
N is the number of the time domain correlation sequence receiving.
10. the device as described in claim 6～9 any one, it is characterised in that at the plurality of signal
The center of reason window is (n-1) * L/2+ (n-1) * L, n=1,2 ... N, wherein said N are described letter
Number processing the number of window, described L is the length of signal transacting window that described time domain correlation sequence divides；
The position of the corresponding signal transacting window in described peak signal footpath is for relative to the plurality of signal transacting window
Relative position.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510180535.6A CN106161324A (en) | 2015-04-16 | 2015-04-16 | A kind of signal to noise ratio determines method and device |
| PCT/CN2016/070077 WO2016165416A1 (en) | 2015-04-16 | 2016-01-04 | Signal-to-noise ratio determination method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510180535.6A CN106161324A (en) | 2015-04-16 | 2015-04-16 | A kind of signal to noise ratio determines method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106161324A true CN106161324A (en) | 2016-11-23 |
Family
ID=57125595
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510180535.6A Pending CN106161324A (en) | 2015-04-16 | 2015-04-16 | A kind of signal to noise ratio determines method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106161324A (en) |
| WO (1) | WO2016165416A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111030762A (en) * | 2019-12-23 | 2020-04-17 | 北京华力创通科技股份有限公司 | Method and device for measuring chirp signal power |
| CN113411273A (en) * | 2021-05-17 | 2021-09-17 | 杭州红岭通信息科技有限公司 | Channel estimation response noise reduction optimization method based on SRS signal |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117279013B (en) * | 2023-11-17 | 2024-02-02 | 芯迈微半导体(上海)有限公司 | Port identification method and port identification device |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101997804B (en) * | 2009-08-21 | 2013-11-06 | 电信科学技术研究院 | Method and device for estimating synchronous timing deviation |
| CN102291349A (en) * | 2010-06-21 | 2011-12-21 | 中兴通讯股份有限公司 | Signal to noise ratio estimation method and device for orthogonal frequency division multiplexing system |
| US8565327B2 (en) * | 2011-03-30 | 2013-10-22 | Himax Media Solutions, Inc. | Intersymbol interference removal method |
| CN103916340B (en) * | 2014-04-04 | 2017-03-15 | 电信科学技术研究院 | A kind of noise power estimation method and network equipment |
-
2015
- 2015-04-16 CN CN201510180535.6A patent/CN106161324A/en active Pending
-
2016
- 2016-01-04 WO PCT/CN2016/070077 patent/WO2016165416A1/en active Application Filing
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111030762A (en) * | 2019-12-23 | 2020-04-17 | 北京华力创通科技股份有限公司 | Method and device for measuring chirp signal power |
| CN113411273A (en) * | 2021-05-17 | 2021-09-17 | 杭州红岭通信息科技有限公司 | Channel estimation response noise reduction optimization method based on SRS signal |
| CN113411273B (en) * | 2021-05-17 | 2022-06-24 | 杭州红岭通信息科技有限公司 | Channel estimation response noise reduction optimization method based on SRS signal |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2016165416A1 (en) | 2016-10-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109076609B (en) | Method and receiver for preamble detection and time of arrival estimation | |
| US11695672B2 (en) | Communication system determining time of arrival using matching pursuit | |
| US6961364B1 (en) | Base station identification in orthogonal frequency division multiplexing based spread spectrum multiple access systems | |
| US9756657B2 (en) | Wireless network signal to interference plus noise ratio estimation for a random access channel | |
| EP2437450B1 (en) | Device and method for estimating time offset in orthogonal frequency division multiplexing (ofdm) system | |
| US7907673B2 (en) | Robust and low-complexity combined signal power estimation | |
| CN102291351B (en) | Timing synchronization method of receiver in OFDM wireless communication system | |
| US8638882B2 (en) | Method and apparatus for offset estimation in mobile communication system | |
| CN101541078A (en) | Method, system and device for estimating TDOA | |
| KR20120036018A (en) | Apparatus and method for frequency offset estimation for high speed in wireless communication system | |
| CN104022996B (en) | Channel estimation-based timing synchronization method for orthogonal frequency division multiplexing (OFDM) system | |
| WO2014063275A1 (en) | Method for determining remote same-frequency interference source and locating method therefor | |
| CN105007150A (en) | Low-signal-noise-ratio SC-FDE (Single Carrier-Frequency Domain Equalization) system synchronization method and synchronization device | |
| CN101635598B (en) | Method and device for estimating noise power | |
| CN114585081A (en) | 5GNR indoor positioning method based on slave positioning base station | |
| CN106161324A (en) | A kind of signal to noise ratio determines method and device | |
| CN117320046B (en) | CRS searching method, LTE time alignment error measuring method and user equipment | |
| CN101582870A (en) | Method and device for realizing synchronization | |
| US20070217532A1 (en) | Apparatus and method for acquiring frame synchronization in broadband wireless communication system | |
| US10750544B2 (en) | Analysis method for multi-user random access signals | |
| CN103297100B (en) | A kind of doppler changing rate method of estimation for ofdm system and system | |
| KR101266720B1 (en) | Method for estimating frequency offset in UWB-OFDM system with cyclic delay diversity and apparatus thereof | |
| US20160352555A1 (en) | Fine timing | |
| CN104684071B (en) | The up Timing Synchronization trackings of LTE | |
| WO2013040772A1 (en) | Channel estimation based positioning method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161123 |