CN101753363B - Method applied to medium transmission quality measurement and device thereof - Google Patents

Method applied to medium transmission quality measurement and device thereof Download PDF

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Publication number
CN101753363B
CN101753363B CN200810179371.5A CN200810179371A CN101753363B CN 101753363 B CN101753363 B CN 101753363B CN 200810179371 A CN200810179371 A CN 200810179371A CN 101753363 B CN101753363 B CN 101753363B
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value
rate
medium
computing
pcr
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CN101753363A (en
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陈齐标
盛金文
李德旭
李四浩
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to PCT/CN2009/074472 priority patent/WO2010063202A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/60Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client 
    • H04N21/63Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
    • H04N21/643Communication protocols
    • H04N21/64322IP
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/25Flow control; Congestion control with rate being modified by the source upon detecting a change of network conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • H04N17/004Diagnosis, testing or measuring for television systems or their details for digital television systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/4302Content synchronisation processes, e.g. decoder synchronisation
    • H04N21/4305Synchronising client clock from received content stream, e.g. locking decoder clock with encoder clock, extraction of the PCR packets
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/438Interfacing the downstream path of the transmission network originating from a server, e.g. retrieving encoded video stream packets from an IP network
    • H04N21/4385Multiplex stream processing, e.g. multiplex stream decrypting
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44209Monitoring of downstream path of the transmission network originating from a server, e.g. bandwidth variations of a wireless network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60Network streaming of media packets
    • H04L65/61Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
    • H04L65/611Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for multicast or broadcast
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/80Responding to QoS

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a method applied to medium transmission quality measurement index and a device thereof, which relates to the field of IPTV, and solves the problem of the prior art that the error of the computation of medium transmission quality measurement index is large. The method comprises: taking more reasonable statistical method to adopting the maximum rate value and critical rate value to compute more accurate ideal medium rate, and involving in the computation of delay parameter and medium packet loss rate. When in continuous a great quantity of packet loss, the medium packet loss rate can accurately compute the result. The embodiment of the invention is mainly applied to various medium transmission quality measurement systems.

Description

Be applied to the method and the device of medium transmission quality measurement
Technical field
The present invention relates to IPTV (Interactive Personality TV, personalized interactive TV) field, relate in particular to method and device that media transmission quality is measured.
Background technology
In the IPTV business, content of multimedia is sent to the destination through IP network, because there are problems such as time-delay, shake and packet loss in IP network, so need to measure the transmission quality of content of multimedia.Aspect the content of multimedia transmission quality measurement, video flowing is assessed at the IP network transmission quality through definition media transmission quality index (MDI, Media Delivery Index) in RFC 4445 documents.MDI comprises two parameters: Delay Factor (delay parameter is called for short DF), and this numerical value shows the delay and jitter situation of video flowing to be tested; Media Loss Rate (Media Loss Ratio is called for short MLR), this numerical value shows the transmission packet loss of video flowing to be tested.Definition and test philosophy to MDI in RFC 4445 documents have description clearly, but do not point out the concrete computational methods of DF and two measurement parameters of MLR, need user oneself to go to realize.
Present multimedia transmission quality is measured implementation method: at first calculate in the computing cycle PCR rate between all adjacent TS bags that have PCR (program clock reference) information (speed that contains the TS stream between the TS bag of PCR information); Calculate the mean value of all PCR rate then, this mean value is participated in as the medium ideal rate in the middle of the calculating of parameter DF; The calculating of parameter MLR is to utilize Continuity_counter (continuous counter) to add up whether to receive packet, and continuous counter has between certain count block, whenever at a distance between a count block, calculates the value of a parameter MLR.
State multimedia transmission quality in realization and measure in the process of implementation method, the inventor finds to exist at least in the prior art following problem:
The first, when the lost data packets phenomenon appears in IP network, the PCR rate that calculates can be very little, if the packet loss phenomenon is frequent; Have a plurality of very little PCR rate; If the medium ideal rate is got the mean value of all PCR rate, the medium ideal rate that calculates so can be less than normal, has error.When the medium ideal rate participated in the middle of the calculating of parameter DF, the parameter DF error that calculates can be quite big, loses the measurement meaning.
The second, when the continuous lost data packets of IP network is too much; Suppose that IP network loses 17 packets continuously, and be [0,15] between the count block of continuous counter; So when losing 17 packets continuously; Continuous counter have between a count block be statistics less than packet, also just can not calculate parameter MLR, do not have measurement result.
Summary of the invention
Embodiments of the invention provide a kind of method and device that is applied to medium transmission quality measurement, to realize calculating comparatively exactly the parameter among the transmission quality measurement index MDI.
For achieving the above object, embodiments of the invention adopt following technical scheme:
A kind of method that is applied to medium transmission quality measurement comprises:
Receiving data stream is according at least one rate value of characteristic information calculating of TS bag in the said data flow;
The characteristic information of said TS bag comprises two TS bag quantity and PCR information of said two TS bag between the TS bag that carries PCR information;
Obtain the maximum rate value in the rate value that calculates;
The characteristic information that wraps with the TS that calculates said maximum rate value is a basic calculation critical speed value;
Obtain the rate value between said maximum rate value and critical speed value that calculates, confirm the medium ideal rate according to the rate value between said maximum rate value and the critical speed value; Wherein,
The said characteristic information that wraps with the TS that calculates said maximum rate value is that basic calculation critical speed value comprises,
The TS bag quantity that calculates said maximum rate value is subtracted one, and obtain corresponding byte number;
Used time when confirm calculating the maximum rate value according to said PCR information;
Said byte number is drawn the critical speed value divided by the said time.
A kind of device that is applied to medium transmission quality measurement comprises:
The premeasuring unit is used for receiving data stream, and calculates at least one rate value according to the characteristic information of TS bag in the said data flow; The characteristic information of said TS bag comprises, the TS bag quantity between two TS bags that carry PCR information and the PCR information of said two TS bag;
Acquiring unit is used for obtaining the maximum rate value of the rate value that calculates;
Pretreatment module is used for the TS bag quantity that calculates said maximum rate value is subtracted one, and obtains corresponding byte number; And used time when confirm calculating the maximum rate value according to said PCR information;
The division module is used for said byte number is drawn the critical speed value divided by the said time;
Confirm the unit, be used to obtain the rate value between said maximum rate value and critical speed value that calculates, confirm the medium ideal rate according to the rate value between said maximum rate value and the critical speed value.
Method that is applied to medium transmission quality measurement and device that the embodiment of the invention provides; When the computing medium ideal rate; Maximum in all transmission data flow of at first selecting to calculate; Because the data packet number of maximum rate value correspondence is maximum, the lost data packets minimum number of this moment does not perhaps have the phenomenon of lost data packets; Calculating a critical speed value according to the maximum rate value then, is to consider when transmitting terminal generates data flow to introduce some errors.Like this, less according to the medium ideal rate error that maximum rate value and critical speed value calculate, and also consider the static receiver error that exists in the equipment, calculated value is more reasonable, accurately.Avoid when the lost data packets phenomenon occurring, get all that calculate transmit in data flow mean value brought than mistake.
If the medium ideal rate that the embodiment of the invention is calculated applies in the measurement of DF and MLR, because the ideal rate of medium comparatively accurately that the embodiment of the invention has calculated, so DF that measures at last and MLR are also more accurate relatively.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work property, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is for being applied to the method flow diagram of medium transmission quality measurement in the embodiment of the invention 1;
Fig. 2 is for being applied to the device block diagram of medium transmission quality measurement in the embodiment of the invention 1;
Fig. 3 is for being applied to the method flow diagram of medium transmission quality measurement in the embodiment of the invention 2;
Fig. 4 is for being applied to the device block diagram of medium transmission quality measurement in the embodiment of the invention 2;
Fig. 5 is for being applied to the method flow diagram of medium transmission quality measurement in the embodiment of the invention 3;
Fig. 6 is for being applied to the device block diagram of medium transmission quality measurement in the embodiment of the invention 3.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
Embodiment 1:
Present embodiment provides a kind of method that is applied to medium transmission quality measurement; In this method mainly is the medium ideal rate that all will use when obtaining calculating transmission quality measurement index MDI; Utilizing after this method obtained the medium ideal rate, can the medium ideal rate be applied in the middle of the calculating of parameter DF and parameter MLR.Following mask body is introduced the computational process of medium ideal rate, and is as shown in Figure 1, and the calculating of medium ideal rate comprises the steps:
101, receiving data stream calculates at least one rate value according to the characteristic information of TS bag in the said data flow, and said rate value is two streaming rates between the packet that has PCR information.
In general; Above-mentioned characteristic information mainly is meant: the TS bag quantity between two TS bags that carry PCR information and the PCR information of said two TS bag; The concrete method of calculating a plurality of streaming rates is: establish two byte numbers that packet comprised that have PCR information and be respectively i and ii; Two corresponding PCR values of bag be PCR (i) and PCR (ii), wherein the calculated case of PCR value is divided into two kinds: a kind of situation is the computational methods of system clock frequency when being 27MHZ: PCR (i)=PCR_base (i) * 300+PCR_ext (i); Another kind of situation is the computational methods of system clock frequency when being 90KHZ: PCR (i)=PCR_base (i) * 300.
Streaming rate=[(i+ii) * system clock frequency]/[PCR (i)-PCR (ii)].
A plurality of fingers in above-mentioned a plurality of streaming rate values can be adjusted greater than 1 numeral as required, and for example, expression is greater than 1 positive integer.A plurality of rate values of calculating in a period of time before the time point of can also refer to can be adjusted as required, for example, and 1 second, 2 seconds etc.
102, obtain maximum rate value in the rate value that calculates, that is: from a plurality of transmission streaming rate values that calculate, find out a maximum rate value.
103, the characteristic information that wraps with the TS that calculates said maximum rate value is a basic calculation critical speed value, and this critical speed value is a value slightly littler than maximum rate value, and concrete computational methods include but not limited to following mode:
Earlier the pairing data packet number of maximum rate value is subtracted one, and obtain corresponding byte number; And the time between corresponding two packets that have PCR information when confirming to obtain above-mentioned maximum rate value; Then said byte number is drawn the critical speed value divided by the said time.
104, obtain the rate value between said maximum rate value and critical speed value that calculates; Rate value according between said maximum rate value and the critical speed value is confirmed the medium ideal rate, and said medium ideal rate will participate in the middle of the calculating of following parameter DF and parameter MLR.
When concrete the application; Can calculate DF or MLR according to above-mentioned medium ideal rate; And the data flow that receives that is adopted when calculating DF or MLR; Possibly be the data flow that when the computing medium ideal rate, receives, also possibly be the data flow that after calculating completion medium ideal rate, receives once more.
The method that is applied to medium transmission quality measurement corresponding to Fig. 1 description; The embodiment of the invention also provides a kind of device that is applied to medium transmission quality measurement; As shown in Figure 2, this device comprises: premeasuring unit 21, acquiring unit 22, computing unit 23 and definite unit 24.
Wherein premeasuring unit 21 is used for receiving data stream, and calculates at least one rate value according to the characteristic information of TS bag in the said data flow, and concrete computational methods are seen the description of 101 processes among Fig. 1; Acquiring unit 22 is used for obtaining the maximum rate value of the rate value that calculates; The characteristic information that computing unit 23 is used for the TS bag that calculates said maximum rate value is a basic calculation critical speed value; Confirm that unit 24 is used to obtain the rate value between said maximum rate value and critical speed value that calculates, and confirms the medium ideal rate according to the rate value between said maximum rate value and the critical speed value.
Above-mentioned characteristic information mainly is meant two TS bag quantity and PCR information of said two TS bag between the TS bag that carries PCR information.
Method that is applied to medium transmission quality measurement and device that the embodiment of the invention provides; When the computing medium ideal rate; Maximum in all transmission data flow of at first selecting to calculate; Because the data packet number of maximum rate value correspondence is maximum, the lost data packets minimum number of this moment does not perhaps have the phenomenon of lost data packets; Calculating a critical speed value according to the maximum rate value then, is to consider when transmitting terminal generates data flow to introduce some errors.Like this, less according to the medium ideal rate error that maximum rate value and critical speed value calculate, and also consider the static receiver error that exists in the equipment, calculated value is more reasonable, accurately.Avoid when the lost data packets phenomenon occurring, get all that calculate transmit in data flow mean value brought than mistake.
If the medium ideal rate that the embodiment of the invention is calculated applies in the measurement of DF and MLR, because the ideal rate of medium comparatively accurately that the embodiment of the invention has calculated, so DF that measures at last and MLR are also more accurate relatively.
Embodiment 2:
Present embodiment is the method that the example explanation is applied to medium transmission quality measurement with computing relay parameter (DF); After the method according to Fig. 1 calculates the medium ideal rate; According to the medium ideal rate computing relay parameter of being calculated, specifically as shown in Figure 3, this method comprises the steps:
301, calculate a plurality of streaming rate values, said rate value is two streaming rates between the packet that has PCR information.
The method of wherein calculating a plurality of streaming rates is: establish two byte numbers that packet comprised that have PCR information and be respectively i and ii; Two corresponding PCR values of bag be PCR (i) and PCR (ii), wherein the calculated case of PCR value is divided into two kinds: a kind of situation is the computational methods of system clock frequency when being 27MHZ: PCR (i)=PCR_base (i) * 300+PCR_ext (i); Another kind of situation is the computational methods of system clock frequency when being 90KHZ: PCR (i)=PCR_base (i) * 300.
Streaming rate=[(i+ii) * system clock frequency]/[PCR (i)-PCR (ii)].
A plurality of fingers in above-mentioned a plurality of streaming rate values can be adjusted greater than 1 numeral as required, and for example, expression is greater than 1 positive integer.A plurality of rate values of calculating in a period of time before the time point of can also refer to can be adjusted as required, for example, and 1 second, 2 seconds etc.
302,, choose wherein maximum value as the maximum rate value according to a plurality of streaming rate values that calculate.
303, the pairing data packet number of maximum rate value is subtracted one, and obtain corresponding byte number.
Used time when 304, confirming to calculate the maximum rate value, the time when promptly obtaining above-mentioned maximum rate value between corresponding two packets that have PCR information.
305, said byte number is drawn the critical speed value divided by the said time.
Critical speed is proposed here; Be to consider that it is to introduce some errors that source device generates data flow; The byte error that this type situation causes is less than the byte number of a packet; And when the lost data packets phenomenon occurring, lose the byte number that byte number must be not less than a packet, so being subtracted one, speed maximum corresponding data bag quantity calculated critical speed afterwards.
306, the data flow rate value of statistics critical speed value in the maximum rate value interval is as the medium ideal rate.
The said method that counts the medium ideal rate can for but be not limited to following two kinds of methods:
The first, the streaming rate value that the frequency of occurrences is the highest in statistics critical speed value and the speed maximum interval is as the medium ideal rate.
The second, the mean value that calculates all streaming rate values in critical speed value and the speed maximum interval is as the medium ideal rate.
The value of parameter DF is that every separated one-period calculates once, and one is calculated after the cycle, and DF restarts to calculate.
307, in the data flow that receives, search the data packet byte number of having preserved before the current reception packet and (be made as variable a); And add up current reception data packet byte number and preserve (being made as variable b), write down simultaneously from beginning and measure the used time of current reception packet (being made as variable t).
The data flow of the reception of being mentioned in this process is meant: the data flow that when the computing medium ideal rate, receives, the data flow that perhaps after calculating completion medium ideal rate, receives once more.
308, judge whether computing cycle finishes, computing cycle generally is 1 second, can adjust as required.If when surpassing computing cycle, execution in step 312; When not surpassing computing cycle, execution in step 309.
309, the said data packet byte of having preserved is counted long-pending that a deducts medium ideal rate and t writing time of institute and obtain a virtual cache height value, and preserve.That is: virtual cache height value 1=a-medium ideal rate * t.
310, the said data packet byte of having preserved is counted a and current reception data packet byte and count b's and deduct long-pending another virtual cache height value that obtains of medium ideal rate and t writing time of institute, and preserve.That is: virtual cache height value 2=(a+b)-medium ideal rate * t.
311, the data packet byte of current reception is counted b and join the value that the data packet byte of having preserved is counted renewal a among a, execution in step 307 then.That is: a+b upgrades replacement a.
The preprocessing process of said process 308 to 311 when carrying out DF calculating promptly calculates two bag virtual cache height values when whenever receiving data in computing cycle.
The difference of maximum and minimum value obtains delay parameter divided by the medium ideal rate in all virtual cache height values that 312, will calculate.That is: DF=(minimum value in maximum in the virtual cache height value-virtual cache height value)/medium ideal rate.
313, judged whether the end measuring message.If the end measuring message is arranged, then process ends; Otherwise execution in step 314.
The used time t of internet protocol data bag that has still surpassed a computing cycle that 314, will just receive deducts the time that computing cycle obtains; Surpass the time of reception t ' of the packet of this computing cycle as this; So that restart the calculating of the parameter DF of following one-period; The byte number a zero clearing of having preserved, and return execution in step 308.
Because the process of calculating parameter DF is to receive packet earlier; Adding up this receives the data packet byte number and then judges whether to surpass the cycle; After step 308 is judged; If surpassed just direct execution in step 312 calculating parameter DF of cycle, do not calculate the virtual cache height value of the packet of receiving this moment that surpasses the cycle, more do not have to preserve.
Illustrate: assumption period is 1 second, whenever receives a packet at a distance from 80 milliseconds, receives the 13rd packet time spent t=1.04 second so; Surpass one-period; Calculate a DF value to preceding 12 bags, but do not calculate two corresponding virtual cache height values, because surpass the cycle to the 13rd packet; So this cycle will be recomputated parameter DF; Just need to upgrade the time of receiving this packet, t '=1.04-1=0.04 second, use t ' to calculate two virtual cache height values of the 13rd packet.
Method corresponding to the described calculating of Fig. 3 DF value; The embodiment of the invention also provides a kind of device that is used for medium transmission quality measurement; Be used to calculate the DF value; As shown in Figure 4, this device comprises: premeasuring unit 41, acquiring unit 42, computing unit 43, confirm unit 44 and delay parameter computing unit 45.
Wherein, premeasuring unit 41 is used for receiving data stream, and calculates at least one rate value according to the characteristic information of TS bag in the said data flow, and concrete computational methods are seen the description of 301 processes among Fig. 3; Acquiring unit 42 is used for obtaining the maximum rate value of the rate value that calculates; The characteristic information that computing unit 43 is used for the TS bag that calculates said maximum rate value is a basic calculation critical speed value; Confirm that unit 44 is used to obtain the rate value between said maximum rate value and critical speed value that calculates, and confirms the medium ideal rate according to the rate value between said maximum rate value and the critical speed value; Delay parameter computing unit 45 is used for according to said medium ideal rate computing relay parameter.
For error appears in the medium ideal rate that can prevent to draw; Present embodiment employing critical speed value and maximum rate value limit the scope of medium ideal rate; In order to obtain comparatively reasonably critical speed value, said in the present embodiment computing unit 43 specifically comprises: pretreatment module 431 and division module 432.
Wherein, pretreatment module 431 is used for the TS bag quantity that calculates said maximum rate value is subtracted one, and obtains corresponding byte number; And used time when confirm calculating the maximum rate value according to said PCR information; Division module 432 is used for said byte number is drawn the critical speed value divided by the said time.
For the medium ideal rate that guarantees to determine at last be one near the data of truth, the implementation of following two kinds of definite unit 44 is provided in the embodiment of the invention:
The first, said definite unit 44 comprises statistical module 441 and processing module 442, and wherein, statistical module 441 is used to add up the frequency that all rate values occur in maximum rate value and the critical speed value interval; Processing module 442 is used for the rate value that the frequency of occurrences is the highest as the medium ideal rate.
The second, said definite unit 44 comprises computing module 443 and processing module 444 (seeing the dotted portion among Fig. 4), and wherein, computing module 443 is used to calculate the mean value of all streaming rate values in maximum rate value and the critical speed value interval; Processing module 444 is used for said mean value as the medium ideal rate.
As shown in Figure 4, when specifically realizing, said delay parameter computing unit 45 comprises: delay parameter pretreatment module 451 and delay parameter computing module 452; Delay parameter pretreatment module 451 is used in computing cycle, calculating two bag virtual cache height values when whenever receiving data; Delay parameter computing module 452 is used for all the virtual cache height value maximums that calculate in the computing cycle and the difference of minimum value are obtained delay parameter divided by the medium ideal rate.
Above-mentioned delay parameter pretreatment module 451 can comprise: search submodule 4511, statistics submodule 4512, record sub module 4513, first calculating sub module 4514, second calculating sub module 4515.
Wherein, searching submodule 4511 is used for searching the data packet byte number of having preserved before the current reception packet in the data flow that receives; Statistics submodule 4512 is used to add up current reception data packet byte number; Record sub module 4513 is used to write down from beginning and measures the current used time of reception packet; First calculating sub module 4514 is used for long-pendingly obtaining a virtual cache height value with what preserve that byte number deducts medium ideal rate and institute writing time; Second calculating sub module 4515 be used for preserve that byte number and this receive the data packet byte number with long-pending another virtual cache height value that obtains that deducts medium ideal rate and institute writing time.
Method that is applied to medium transmission quality measurement and device that the embodiment of the invention provides; When the computing medium ideal rate; Maximum in all transmission data flow of at first selecting to calculate; Because the data packet number of maximum rate value correspondence is maximum, the lost data packets minimum number of this moment does not perhaps have the phenomenon of lost data packets; Calculating a critical speed value according to the maximum rate value then, is to consider when transmitting terminal generates data flow to introduce some errors.Like this, less according to the medium ideal rate error that maximum rate value and critical speed value calculate, and also consider the static receiver error that exists in the equipment, calculated value is more reasonable, accurately.Avoid when the lost data packets phenomenon occurring, get all that calculate transmit in data flow mean value brought than mistake.Use the above-mentioned ideal rate of medium comparatively accurately that has calculated when calculating two virtual buffer height values, the calculated value of parameter DF is also comparatively accurate so.
Embodiment 3:
Present embodiment is the method that the example explanation is applied to medium transmission quality measurement with computing medium packet loss (MLR); After the method according to Fig. 1 calculates the medium ideal rate; According to the medium ideal rate computing medium packet loss that is calculated, specifically as shown in Figure 5, this method comprises the steps:
501, calculate a plurality of streaming rate values, said rate value is two streaming rates between the packet that has PCR information.
The method of wherein calculating a plurality of streaming rates is: establish two byte numbers that packet comprised that have PCR information and be respectively i and ii; Two corresponding PCR values of bag be PCR (i) and PCR (ii), wherein the calculated case of PCR value is divided into two kinds: a kind of situation is the computational methods of system clock frequency when being 27MHZ: PCR (i)=PCR_base (i) * 300+PCR_ext (i); Another kind of situation is the computational methods of system clock frequency when being 90KHZ: PCR (i)=PCR_base (i) * 300.
Streaming rate=[(i+ii) * system clock frequency]/[PCR (i)-PCR (ii)].
A plurality of fingers in above-mentioned a plurality of streaming rate values can be adjusted greater than 1 numeral as required, and for example, expression is greater than 1 positive integer.A plurality of rate values of calculating in a period of time before the time point of can also refer to can be adjusted as required, for example, and 1 second, 2 seconds etc.
502,, choose wherein maximum value as the maximum rate value according to a plurality of streaming rate values that calculate.
503, the pairing data packet number of maximum rate value is subtracted one, and obtain corresponding byte number.
Used time when 504, confirming to calculate the maximum rate value, the time when promptly obtaining above-mentioned maximum rate value between corresponding two packets that have PCR information.
505, said byte number is drawn the critical speed value divided by the said time.
Critical speed is proposed here; Be to consider that it is to introduce some errors that source device generates data flow; The byte error that this type situation causes is less than the byte number of a packet; And when the lost data packets phenomenon occurring, lose the byte number that byte number must be not less than a packet, so being subtracted one, speed maximum corresponding data bag quantity calculated critical speed afterwards.
506, the data flow rate value of statistics critical speed value in the maximum rate value interval is as the medium ideal rate.
The said method that counts the medium ideal rate can for but be not limited to following two kinds of methods:
The first, the streaming rate value that the frequency of occurrences is the highest in statistics critical speed value and the speed maximum interval is as the medium ideal rate.
The second, the mean value that calculates all streaming rate values in critical speed value and the speed maximum interval is as the medium ideal rate.
The value of parameter DF is that every separated one-period calculates once, and one is calculated after the cycle, and DF restarts to calculate.
For the computing medium packet loss; Need statistics actual byte number of receiving the TS bag in current computing cycle; And calculate the byte number that in current computing cycle, should receive the TS bag according to the medium ideal rate, count the computing medium packet loss according to said TS packet byte number and the actual TS of the receiving packet byte should received at last; The concrete follow-up flow process of face as follows:
507, obtain the PCR value of the TS bag that has PCR information in the data flow that receives, generally when receiving data flow, whether the packet in the first judgment data stream contains PCR information, and the packet in the event data stream contains PCR information, execution in step 508; , do not carry out 507.
508, calculate PCR value in the packet contain PCR information, and preservation.
The calculated case of PCR value is divided into two kinds: a kind of situation is the computational methods of system clock frequency when being 27MHZ: PCR (i)=PCR_base (i) * 300+PCR_ext (i); Another kind of situation is the computational methods of system clock frequency when being 90KHZ: PCR (i)=PCR_base (i) * 300.
509, judge whether to accomplish a computing cycle.Computing cycle is generally 1 second.Be execution in step 810; Not, execution in step 507.
510, find the PCR value that calculates the earliest in this cycle, the PCR value that is made as variable PCR (i) and calculates at last is made as variable PCR (ii).
Illustrate: suppose that computing cycle is 1 second; Receive 10 packets in this 1 second; But have only the 2nd, 3,5,6,7,9 to include clock reference information; Computer calculates corresponding PCR value in order, and the PCR value that calculates the earliest in this one-period so is the PCR value of the 2nd bag, and the PCR value that calculates at last is the PCR value of the 9th bag.
511, calculate the above-mentioned PCR value that calculates the earliest and the PCR value that calculates at last between pairing time span; Be worth difference to obtain said time span with above-mentioned two PCR divided by system clock frequency; Be made as variable T, that is: T=[PCR (i)-PCR (ii)]/system clock frequency.
512, multiply each other with above-mentioned time span T and medium ideal rate and obtain the byte number that receive, that is: receivable byte number=T* medium ideal rate.
513, the difference that should receive byte number and the actual byte number of receiving obtains number of dropped packets divided by 188, obtains the value of parameter MLR again divided by computing cycle, that is: MLR=(receivable byte number-reality receipts byte number)/(188* computing cycle).
514, judged whether the end measuring message.If the end measuring message is arranged, then process ends; Otherwise execution in step 507.
Method corresponding to the described computing medium packet loss of Fig. 3; The embodiment of the invention also provides a kind of device that is used for medium transmission quality measurement; Be used for the computing medium packet loss; As shown in Figure 6, this device comprises: premeasuring unit 61, acquiring unit 62, computing unit 63, confirm unit 64 and Media Loss Ratio computing unit 65.
Wherein, premeasuring unit 61 is used for receiving data stream, and calculates at least one rate value according to the characteristic information of TS bag in the said data flow, and concrete computational methods are seen the description of 501 processes among Fig. 5; Acquiring unit 62 is used for obtaining the maximum rate value of the rate value that calculates; The characteristic information that computing unit 63 is used for the TS bag that calculates said maximum rate value is a basic calculation critical speed value; Confirm that unit 64 is used to obtain the rate value between said maximum rate value and critical speed value that calculates, and confirms the medium ideal rate according to the rate value between said maximum rate value and the critical speed value; Media Loss Ratio computing unit 65 is used for according to said medium ideal rate computing medium packet loss.
For error appears in the medium ideal rate that can prevent to draw; Present embodiment employing critical speed value and maximum rate value limit the scope of medium ideal rate; In order to obtain comparatively reasonably critical speed value, said in the present embodiment computing unit 63 specifically comprises: pretreatment module 631 and division module 632.
Wherein, pretreatment module 631 is used for the TS bag quantity that calculates said maximum rate value is subtracted one, and obtains corresponding byte number; And used time when confirm calculating the maximum rate value according to said PCR information; Division module 632 is used for said byte number is drawn the critical speed value divided by the said time.
For the medium ideal rate that guarantees to determine at last be one near the data of truth, the implementation of following two kinds of definite unit 64 is provided in the embodiment of the invention:
The first, said definite unit 64 comprises statistical module 641 and processing module 642, and wherein, statistical module 441 is used to add up the frequency that all rate values occur in maximum rate value and the critical speed value interval; Processing module 442 is used for the rate value that the frequency of occurrences is the highest as the medium ideal rate.
The second, said definite unit 64 comprises computing module 643 and processing module 644 (seeing the dotted portion among Fig. 6), and wherein, computing module 643 is used to calculate the mean value of all streaming rate values in maximum rate value and the critical speed value interval; Processing module 644 is used for said mean value as the medium ideal rate.
When concrete the realization, said Media Loss Ratio computing unit 65 comprises: byte statistical module 651, byte computing module 652 and Media Loss Ratio computing module 653.Said byte statistical module 651 is used to add up the byte number of the actual TS of receiving bag in current computing cycle; Said byte computing module 652 is used for calculating the byte number that in current computing cycle, should receive the TS bag according to the medium ideal rate; Said Media Loss Ratio computing module 653 is used for counting the computing medium packet loss according to said TS packet byte number and the actual TS of the receiving packet byte should received; That is: the difference that should receive byte number and the actual byte number of receiving obtains number of dropped packets divided by 188; Obtain the value of parameter MLR again divided by computing cycle, be equivalent to computing formula and be: MLR=(receivable byte number-reality receipts byte number)/(188* computing cycle).
Wherein, said byte computing module 652 comprises: obtain submodule 6521, judge submodule 6522, confirm submodule 6523, first calculating sub module 6524 and second calculating sub module 6525.The said submodule 6521 that obtains is used for obtaining the PCR value that the data flow that receives has the TS bag of PCR information; Saidly judge that submodule 6522 is used to judge whether computing cycle finishes; Said definite submodule 6523 is used for when said computing cycle finishes, confirming PCR value of obtaining the earliest in this computing cycle and the PCR value of obtaining at last; Said first calculating sub module 6524 is used to calculate the time span between PCR value of obtaining the earliest and the PCR value of obtaining at last; Said second calculating sub module 6525 is used for calculating the byte number that receive according to time span and medium ideal rate.
Method that is applied to the medium transmission quality measurement index and device that the embodiment of the invention provides; When the computing medium ideal rate; Maximum in all transmission data flow of at first selecting to calculate; Because the data packet number of maximum rate value correspondence is maximum, the lost data packets minimum number of this moment does not perhaps have the phenomenon of lost data packets; Calculating a critical speed value according to the maximum rate value then, is to consider when transmitting terminal generates data flow to introduce some errors.Like this; Medium ideal rate error according to maximum rate value and critical speed value count is less; The method of statistics can for but be not limited to choose the critical speed value to the highest transmission flow rate value of the frequency of occurrences in the maximum rate value interval or choose interval in the mean value of all rate values, the calculated value that obtains is more reasonable, accurate.Avoid when the lost data packets phenomenon occurring, get all that calculate transmit in data flow mean value brought than mistake.
The above-mentioned ideal rate of medium comparatively accurately that has calculated is used in the calculating of parameter MLR; Also use the byte number that ideal should receive and the difference of the actual byte number of receiving; The actual byte number of receiving can be used device measuring; The byte number of losing during their difference representative transmits, and then can calculate the data packet number of losing in the transmission.When occurring losing mass data bag phenomenon continuously, also can access the calculated value of parameter MLR comparatively accurately.The continuous counter statistics is less than packet when avoiding a large amount of packet loss, the problem that can not calculate.
The method and apparatus that calculates MLR among the method and apparatus of calculating DF, the embodiment 3 in the foregoing description 2 can be realized in same embodiment simultaneously.
Through the description of above execution mode, the those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential common hardware, can certainly pass through hardware, but the former is better execution mode under a lot of situation.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product, and this computer software product is stored in the storage medium that can read, like the floppy disk of computer; Hard disk or CD etc.; Comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technical staff who is familiar with the present technique field is in the technical scope that the present invention discloses; The variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by said protection range with claim.

Claims (16)

1. a method that is applied to medium transmission quality measurement is characterized in that, comprising:
Receiving data stream is according at least one rate value of characteristic information calculating of TS bag in the said data flow;
The characteristic information of said TS bag comprises two TS bag quantity and PCR information of said two TS bag between the TS bag that carries PCR information;
Obtain the maximum rate value in the rate value that calculates;
The characteristic information that wraps with the TS that calculates said maximum rate value is a basic calculation critical speed value;
Obtain the rate value between said maximum rate value and critical speed value that calculates, confirm the medium ideal rate according to the rate value between said maximum rate value and the critical speed value; Wherein,
The said characteristic information that wraps with the TS that calculates said maximum rate value is that basic calculation critical speed value comprises,
The TS bag quantity that calculates said maximum rate value is subtracted one, and obtain corresponding byte number;
Used time when confirm calculating the maximum rate value according to said PCR information;
Said byte number is drawn the critical speed value divided by the said time.
2. the method that is applied to medium transmission quality measurement according to claim 1 is characterized in that, saidly confirms that according to the rate value between said maximum rate value and the critical speed value medium ideal rate comprises:
The frequency that all rate values occur in statistics maximum rate value and the critical speed value interval;
The rate value that the frequency of occurrences is the highest is as the medium ideal rate.
3. the method that is applied to medium transmission quality measurement according to claim 1 is characterized in that, saidly confirms that according to the rate value between said maximum rate value and the critical speed value medium ideal rate comprises:
Calculate the mean value of all streaming rate values in maximum rate value and the critical speed value interval;
With said mean value as the medium ideal rate.
4. according to any described method that is applied to medium transmission quality measurement in the claim 1 to 3; It is characterized in that; This method also comprises: according to said medium ideal rate computing relay parameter, and/or according to said medium ideal rate computing medium packet loss.
5. the method that is applied to medium transmission quality measurement according to claim 4 is characterized in that, saidly comprises according to said medium ideal rate computing relay parameter:
In computing cycle, calculate two bag virtual cache height values when whenever receiving data;
The difference of maximum and minimum value in all virtual cache height values that calculate in the computing cycle is obtained delay parameter divided by the medium ideal rate.
6. the method that is applied to medium transmission quality measurement according to claim 5 is characterized in that, said two bag virtual cache height values that in computing cycle, calculate when whenever receiving data comprise:
In the data flow that receives, search the data packet byte number that has received before the current reception packet;
Add up current reception data packet byte number;
Record measures the current used time of reception packet from beginning;
Long-pendingly obtain a virtual cache height value with what reception deposited that byte number deducts medium ideal rate and institute writing time;
With receive that byte number and this receive the data packet byte number with long-pending another virtual cache height value that obtains that deducts medium ideal rate and institute writing time.
7. the method that is applied to medium transmission quality measurement according to claim 4 is characterized in that, saidly comprises according to said medium ideal rate computing medium packet loss:
Statistics is the actual byte number of receiving the TS bag in current computing cycle;
Calculate the byte number that in current computing cycle, should receive the TS bag according to the medium ideal rate;
Count the computing medium packet loss according to said TS packet byte number and the actual TS of the receiving packet byte should received.
8. the method that is applied to medium transmission quality measurement according to claim 7 is characterized in that, said calculating according to the medium ideal rate should receive that in current computing cycle the byte number that TS wraps comprises:
Obtain the PCR value of the TS bag that has PCR information in the data flow that receives;
Judge whether computing cycle finishes;
When said computing cycle finishes, confirm PCR value of obtaining the earliest in this computing cycle and the PCR value of obtaining at last;
Calculate the time span between PCR value of obtaining the earliest and the PCR value of obtaining at last;
Calculate the byte number that receive according to time span and medium ideal rate.
9. a device that is applied to medium transmission quality measurement is characterized in that, comprising:
The premeasuring unit is used for receiving data stream, and calculates at least one rate value according to the characteristic information of TS bag in the said data flow; The characteristic information of said TS bag comprises, the TS bag quantity between two TS bags that carry PCR information and the PCR information of said two TS bag;
Acquiring unit is used for obtaining the maximum rate value of the rate value that calculates;
Pretreatment module is used for the TS bag quantity that calculates said maximum rate value is subtracted one, and obtains corresponding byte number; And used time when confirm calculating the maximum rate value according to said PCR information;
The division module is used for said byte number is drawn the critical speed value divided by the said time;
Confirm the unit, be used to obtain the rate value between said maximum rate value and critical speed value that calculates, confirm the medium ideal rate according to the rate value between said maximum rate value and the critical speed value.
10. the device that is applied to medium transmission quality measurement according to claim 9 is characterized in that, said definite unit comprises:
Statistical module is used to add up the frequency that all rate values occur in maximum rate value and the critical speed value interval;
Processing module is used for the rate value that the frequency of occurrences is the highest as the medium ideal rate.
11. the device that is applied to medium transmission quality measurement according to claim 9 is characterized in that, said definite unit comprises:
Computing module is used to calculate the mean value of all streaming rate values in maximum rate value and the critical speed value interval;
Processing module is used for said mean value as the medium ideal rate.
12., it is characterized in that this device also comprises according to any described device that is applied to medium transmission quality measurement in the claim 9 to 11:
The delay parameter computing unit is used for according to said medium ideal rate computing relay parameter, and/or
The Media Loss Ratio computing unit is used for according to said medium ideal rate computing medium packet loss.
13. the device that is applied to medium transmission quality measurement according to claim 12 is characterized in that, said delay parameter computing unit comprises:
The delay parameter pretreatment module is used in computing cycle, calculating two bag virtual cache height values when whenever receiving data;
The delay parameter computing module is used for all the virtual cache height value maximums that calculate in the computing cycle and the difference of minimum value are obtained delay parameter divided by the medium ideal rate.
14. the device that is applied to medium transmission quality measurement according to claim 13 is characterized in that, said delay parameter pretreatment module comprises:
Search submodule, be used for searching the data packet byte number that has received before the current reception packet in the data flow that receives;
The statistics submodule is used to add up current reception data packet byte number;
Record sub module is used to write down from beginning and measures the current used time of reception packet;
First calculating sub module is used for long-pendingly obtaining a virtual cache height value with what receive that byte number deducts medium ideal rate and institute writing time;
Second calculating sub module, be used for receive that byte number and this receive the data packet byte number with long-pending another virtual cache height value that obtains that deducts medium ideal rate and institute writing time.
15. the device that is applied to medium transmission quality measurement according to claim 12 is characterized in that, said Media Loss Ratio computing unit comprises:
The byte statistical module is used to add up the byte number that the actual TS of receiving wraps in current computing cycle;
The byte computing module is used for calculating the byte number that in current computing cycle, should receive the TS bag according to the medium ideal rate;
The Media Loss Ratio computing module is used for counting the computing medium packet loss according to said TS packet byte number and the actual TS of the receiving packet byte should received.
16. the device that is applied to medium transmission quality measurement according to claim 15 is characterized in that, said byte computing module comprises:
Obtain submodule, be used for obtaining the PCR value that the data flow that receives has the TS bag of PCR information;
Judge submodule, be used to judge whether computing cycle finishes;
Confirm submodule, be used for when said computing cycle finishes, confirming PCR value of obtaining the earliest in this computing cycle and the PCR value of obtaining at last;
First calculating sub module is used to calculate the time span between PCR value of obtaining the earliest and the PCR value of obtaining at last;
Second calculating sub module is used for calculating the byte number that receive according to time span and medium ideal rate.
CN200810179371.5A 2008-12-02 2008-12-02 Method applied to medium transmission quality measurement and device thereof Expired - Fee Related CN101753363B (en)

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