CN115085863A - Frame counting correction and frame loss statistical method for wireless data - Google Patents
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- H—ELECTRICITY
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- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0078—Avoidance of errors by organising the transmitted data in a format specifically designed to deal with errors, e.g. location
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/1607—Details of the supervisory signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
- H04L1/201—Frame classification, e.g. bad, good or erased
Abstract
The method for correcting the frame count of the wireless data and counting the frame loss provides a distance concept and an optimized bubble sorting algorithm, and sorts the distance value and the corresponding frame count from small to large by utilizing the optimized bubble sorting algorithm to complete the correction of the sorting of the frame count and then carries out the frame loss statistics. Selecting one frame count as a reference for the frame count sequence, and calculating the distance between the other frame counts and the reference; and correcting the sequencing of the frame counting sequence according to the sequence of the distance values from small to large, and removing the corresponding frame counting if the first distance value is 0. The frame counting correction and frame loss statistical method of the wireless data is not only suitable for frame loss statistics under the condition of normal frame counting, but also can accurately carry out frame loss statistics on a data transmission mode of a data frame retransmission mechanism, thereby realizing the accuracy and the rapidity of the test.
Description
Technical Field
The invention relates to a wireless data acquisition technology, in particular to a frame counting correction and frame loss statistical method for wireless data.
Background
The frame of the wireless data not only comprises a frame head, a frame tail, effective data and verification, but also comprises frame counting. The frame count is an index number of one data frame, indicates the number of currently transmitted or received data frames, and also indicates the context of the data frames. The effective data in the wireless data may be environmental parameters, aircraft attitude information or equipment operating state parameters, such as temperature, humidity, voltage values, current values, position attitude information and the like. The working state parameters and the environmental parameters of the equipment directly reflect the health state of the equipment, and provide basis for evaluating the performance of the equipment and analyzing faults.
For a ground test system for acquiring wireless data frames in real time, the loss of the data frames causes part of effective information to be missed, and the parameter change of the environment and the working state which need to be monitored in real time generates a fault phenomenon, so that the performance of the equipment is unstable; serious data frame loss during equipment troubleshooting leads to the fact that the equipment fault operation condition cannot be traced back, and the problem analysis and positioning are inaccurate. Therefore, the frame loss rate of the wireless data is an important index of the ground test system.
The traditional algorithm for calculating frame loss is shown in fig. 1, two adjacent elements in a frame counting sequence are compared in sequence, if the difference value Δ t is greater than 1, a frame is lost, the number of frame loss is Δ t-1, and the algorithm is only effective for data frames sent in sequence. In practical engineering application, for a data emission source with a data frame retransmission mechanism, multiple data frames are transmitted in an emission period, each data frame occupies one time slot, if one frame is transmitted incorrectly, the data frames are retransmitted in the last 5 time slots in the emission period, in this case, the retransmitted frame appears in the data frame behind the original data frame, and a frame counting sequence is disordered.
Disclosure of Invention
The invention aims to provide a frame counting correction and frame loss statistical method for wireless data, which is not only suitable for frame loss statistics under the condition of normal frame counting, but also can accurately carry out frame loss statistics on a data transmission mode of a data frame retransmission mechanism, thereby realizing the accuracy and the rapidity of testing.
In order to achieve the purpose, the invention provides a frame counting correction and frame loss statistical method for wireless data, which provides a distance concept and an optimized bubble sorting algorithm, and sorts the distance value and the corresponding frame count from small to large by utilizing the optimized bubble sorting algorithm, completes the correction of frame counting sorting, and then carries out frame loss statistics.
The frame counting correction and frame loss statistical method of the wireless data comprises the steps of selecting one frame count as a reference for a frame counting sequence, and calculating the distance between other frame counts and the reference; correcting the sequencing of the frame counting sequence according to the sequence of the distance values from small to large; and for the corrected frame counting sequence, if the distance from the first frame counting to the reference after the reference is 0, the frame counting is removed.
The method for correcting the frame count and counting the frame loss of the wireless data comprises the following steps: 1) taking the first frame count of the frame count sequence as a reference;
2) counting 5 frames after reference as a detection value to obtain a detection value array checkval [5 ];
3) calculating the distance from each detection value in the detection value array checkval [5] to the reference to obtain a distance value array offset [5 ];
4) judging whether the distance values in the distance value array offsetval [5] are arranged in the order from small to large, if so, executing the step 6), and if not, executing the step 5);
5) arranging all distance values in the distance value array offset [5] according to the sequence from small to large, and updating the distance value array offset [5 ]; the detection value of the corresponding position moves along with the optimized bubble sorting algorithm in the updating process of the distance value array offsetval [5], and a frame counting sequence is corrected;
6) judging whether the first distance value in the distance value array offsetval [5] is 0, if so, removing the data frame corresponding to the distance value 0, sequentially advancing and supplementing the data frames behind the data frame to obtain a new data frame sequence, reacquiring the detection value array checkval [5] according to the new data frame sequence, and returning to the step 3); if not, executing step 7);
7) calculating frame loss;
8) the reference is continued to the next frame count and returns to step 2).
The method for correcting the frame counting and counting the frame loss of the wireless data comprises the steps that the distance value is equal to a detection value-reference, if the detection value-reference is less than 0, the distance algorithm is correspondingly adjusted according to a counting rule adopted by the frame counting, and the distance value is ensured to be more than or equal to 0.
The frame counting correction and frame loss statistical method for the wireless data is characterized in that the frame counting is represented by one byte hexadecimal, and when the detection value-benchmark is less than 0, the distance value is 256-benchmark + detection value.
In the method for frame count correction and frame loss statistics of wireless data, if the distance values in the distance value array offset [5] are not arranged in the order from small to large, it indicates that there is a retransmission frame in the data frame sequence; for the case of a retransmitted frame, the ordering of the distance value array offsetval [5] and the detection value array checkval [5] is corrected.
According to the frame counting correction and frame loss statistical method for the wireless data, the optimized bubble sorting algorithm function is expanded from one group of element sorting to two groups of element sorting, and the distance value is sorted from small to large, and the frame counting detection value of the distance value corresponding to the index number is adjusted along with the position sequence, so that the purpose of correcting the frame counting is achieved.
In the method for frame count correction and frame loss statistics of wireless data, if the distance value in the distance value array offset [5] is 0, it indicates that there is a repeated frame in the data frame sequence, and the repeated frame is removed before calculating the frame loss.
In the above method for frame count correction and frame loss statistics of wireless data, in step 6), it is only necessary to determine whether the first distance value in the distance value array offset [5] is 0.
The above-mentioned frame count correction and frame loss statistical method of wireless data, wherein, the step 7) includes: and (4) making a difference between the counting of the next frame after the reference and the reference, and if the difference value delta t is greater than 1, determining that the lost frame number lostnum is delta t-1.
Compared with the prior art, the invention has the beneficial technical effects that:
the frame counting correction and frame loss statistical method of the wireless data can not only detect the frame loss condition of the data frame in a normal transmission mode, but also accurately measure the frame loss quantity under a retransmission mechanism, thereby realizing the test universality;
the frame counting correction and frame loss statistical method of the wireless data corrects the frame counting sequence by using an optimized sorting means according to the concept of distance, and avoids redundant situations of excessive processing branches in the process of frame loss miscalculation and code compiling caused by directly using the counting comparison of two adjacent frames.
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The frame count correction and frame loss statistical method of wireless data according to the present invention is provided in the following embodiments and accompanying drawings.
Fig. 1 is a diagram illustrating a frame loss statistical method in the prior art.
Fig. 2 is a flow chart of a frame count correction and frame loss statistics method of wireless data according to the present invention.
Fig. 3 is a schematic view of embodiment 1 of the present invention.
Fig. 4 is a schematic view of embodiment 2 of the present invention.
Fig. 5 is a schematic view of embodiment 3 of the present invention.
Fig. 6 is a schematic view of embodiment 4 of the present invention.
Detailed Description
The frame count correction and frame loss statistics method for wireless data according to the present invention will be described in further detail with reference to fig. 1 to 6.
The invention designs a frame counting correction and frame loss statistical method aiming at two conditions of retransmission frames and repeated frames, provides a distance concept and an optimized bubble sorting algorithm, corrects the frame counting sorting according to a distance value and the optimized sorting algorithm, and then carries out frame loss statistics.
Fig. 1 is a flow chart of a frame count correction and frame loss statistics method for wireless data according to the present invention.
Referring to fig. 1, the method for frame count correction and frame loss statistics of wireless data of the present invention comprises:
1) taking the first frame count of the frame count sequence as a reference baseval;
2) counting 5 frames after the reference baseval as a detection value to obtain a detection value array checkval [5 ];
3) calculating the distance from each detection value in the detection value array checkval [5] to the reference baseval to obtain a distance value array offset [5 ];
4) judging whether the distance values in the distance value array offsetval [5] are arranged in the order from small to large, if so, executing the step 6), and if not, executing the step 5);
5) arranging all distance values in the distance value array offset [5] according to the sequence from small to large, and updating the distance value array offset [5 ]; moving the detection value of the corresponding position in the updating process of the distance value array offsetval [5] by using the optimized bubble sorting algorithm to obtain a corrected frame counting sequence;
6) judging whether the first distance value in the distance value array offsetval [5] is 0, if so, removing the data frame corresponding to the distance value 0, sequentially advancing and supplementing the data frames behind the data frame to obtain a new data frame sequence, reacquiring the detection value array checkval [5] according to the new data frame sequence, and returning to the step 3); if not, executing step 7);
for the distance value array with the corrected sorting, step 6) judging whether the first distance value is 0 according to the corrected distance value array;
7) calculating frame loss;
taking the difference between the counting of a frame after the reference baseval and the reference baseval, and if the difference value delta t is greater than 1, the lost frame number lostnum is equal to delta t-1;
8) the base baseval is advanced to the next frame count and returns to step 2).
The present invention will now be described in detail with reference to the following embodiments.
In the following embodiments, the frame count is expressed in one byte hexadecimal, and the frame count of the data frame is cycled from 0x00 to 0 xFF.
Example 1:
in this embodiment, for the case that only the retransmission frame exists, the retransmission frame index data transmission mechanism finds the missed data frame in the wireless data transmission process, and then retransmits the missed data frame. The retransmitted frame will appear in the last five data frames of the original data frame sequence, and if not, the frame is lost.
In this embodiment, as shown in fig. 3, a frame count sequence a is a frame count sequence a, where a first frame count of the frame count sequence a is 0xF8, a data frame corresponding to 0xF9 is a retransmission frame, and the existence of the retransmission frame causes an abnormal sequence of frame counts in the frame count sequence a, and occurs when the calculation is performed by using a conventional frame loss calculation algorithm:
1) the difference between the next frame count 0xFA (newval) and the previous frame count 0xF8(oldval) is greater than 1, and if the result is greater than 1, the frame loss count lostnum is (0xFA-0xF8) -1 is 1, which results in a frame loss calculation error;
2) when the frame count 0xFD is calculated, the next frame count 0xF9 is smaller than the previous frame count 0xFD, and the data frame is considered to be lost by one cycle, and the frame loss count lostnum is (0xFF-0xFD) +0xF9 is 0xFB (251), resulting in a frame loss calculation error.
The method for correcting frame count and counting dropped frames of wireless data in this embodiment proposes a distance concept, and takes the first frame count as a reference baseval, takes 5 frame counts after the reference baseval as a detection value, which is denoted as checkval [5], calculates a distance from the checkval [5] to the reference baseval, which is denoted as offset [5], as shown in fig. 3, specifically as follows:
baseval＝0xF8
checkval[5]＝{0xFA,0xFB,0xFC,0xFD,0xF9}
0xFA-0xF8 ═ 2, 0xFB-0xF8 ═ 3, 0xFC-0xF8 ═ 4, 0xFD-0xF8 ═ 5, 0xF9-0xF8 ═ 1, so:
offsetval[5]＝{2,3,4,5,1}；
the checkval [5] and the offset [5] are both arrays, and the checkval [5] is defined as a detection value array, and the offset [5] is defined as a distance value array.
In this embodiment, the distance values in offset [5] are not sorted according to the rule from small to large, and before frame loss is calculated, the frame count sorting should be corrected first, which is specifically as follows:
the offset [5] and the checkval [5] are brought into a sorting algorithm, sorting is performed according to a rule that the distance value is from small to large, the corresponding detection values are sequentially adjusted, so as to correct the frame counting sequence, and a new frame counting sequence is obtained, as shown in fig. 3, the detection value array after sequential adjustment is {0xF9,0xFA,0xFB,0xFC,0xFD }, and the frame counting sequence after correction (i.e. the new frame counting sequence) is {0xF8,0xF9,0xFA,0xFB,0xFC,0xFD,0xFE, … … }.
Calculating frame loss after correcting the frame counting sequence, namely, taking the difference between the frame counting after the reference baseval and the reference baseval, and if the difference value delta t is more than 1, determining the frame loss number lostnum as delta t-1; in this embodiment, (0xF9-0xF8) is 1, and no frame is lost;
after frame loss is calculated, the reference baseval is extended to the next frame counting on the new frame counting sequence, the steps are repeated for the next round of processing, namely, the new reference baseval is used for finding checkval [5], offset is recalculated [5], … …; in this embodiment, the second frame count 0xF9 of the new frame count sequence {0xF8,0xF9,0xFA,0xFB,0xFC,0xFD,0xFE, … … } is used as the reference baseval, and checkval [5] is updated as: checkval [5] = {0xFA,0xFB,0xFC,0xFD,0xFE }, offset [5] is updated as: offset [5] = {1,2,3,4,5}, … ….
Example 2:
this embodiment is still directed to the case where only retransmitted frames exist, and different from embodiment 1, the checkval [5] includes frame counts in different cycles from the reference baseval, as shown in fig. 4, the frame count sequence B is {0xFC,0xFE,0xFF,0x00,0xFD,0x01,0x02, … … },
baseval＝0xFC
checkval[5]＝{0xFE,0xFF,0x00,0xFD,0x01}
the distance from 0x00 to 0xFC <0, 0x00 to 0xFC is calculated by the following method: 256-0xFC +0x00 ═ 4;
the distance from 0x01 to 0xFC <0, 0x01 to 0xFC is calculated as follows: 256-0xFC +0x01 ═ 5; therefore:
offsetval[5]＝{2,3,4,1,5}。
example 2 is the same as example 1 except that a distance between a detection value in a different cycle from the reference baseval and the reference baseval is calculated, and a calculation method is different from example 1.
In this embodiment, the sequentially adjusted detection values are {0xFD,0xFE,0xFF,0x00,0x01 }.
Example 3:
in this embodiment, for the case where only the repeated frame exists, the repeated frame refers to that the same data frame is acquired twice, and both the two times are valid.
For the case of repeated frames, if a repeated frame appears in a data frame, the distance value is 0 as the judgment basis (because the frame counts are the same), the processing mode is to remove the repeated frame, the data frame following the repeated frame is shifted forward in sequence to make up the bit, correspondingly, the frame count corresponding to the repeated frame in the frame count sequence is removed, and the frame count following the repeated frame is shifted forward in sequence to make up the bit.
Referring to fig. 5, the frame count sequence C has:
baseval：0xFD
checkval[5]＝{0xFD,0xFE,0xFF,0x01,0x02}
offsetval[5]＝{0,1,2,4,5}
0xFD (first detection value after baseval) -0xFD (baseval) ═ 0, which indicates that the first detection value after the base baseval is the same data frame as the base baseval, removes the first detection value after the base baseval, shifts the detection values after the first detection value in order, and adds a new frame count to the detection value array, and there are: checkval [5] ═ {0xFE,0xFF,0x01,0x02,0x03 };
the distance from the processed checkval [5] to the reference baseval is: offset [5] = {1,2,4,5,6 };
removing repeated frames and then performing frame loss calculation; the base baseline is then advanced to the next frame count for the next round of processing.
Example 4:
the present embodiment addresses the case where there are both duplicate frames and retransmitted frames.
As shown in fig. 6, the frame count sequence D is {0xFD,0xFE,0xFF,0xFD,0x01,0x02,0x03,0x04,0x05, … … }, and includes:
baseval：0xFD
checkval[5]＝{0xFE,0xFF,0xFD,0x01,0x02}
offsetval[5]＝{1,2,0,4,5}；
according to offset [5], the frame count sequence D has both the case of retransmitting a frame and the case of repeating a frame, and then processes the case of retransmitting a frame first and then processes the case of repeating a frame, that is, the frame count ordering is corrected first and then the repeating frame is removed, specifically:
offset [5] ═ 0,1,2,4,5, and the corrected frame count sequence is {0xFD,0xFE,0xFF,0x01,0x02,0x03,0x04,0x05, … … };
removing 0 in the distance value array, and then supplementing a new detection value, including: checkval [5] = {0xFE,0xFF,0x01,0x02,0x03}, offsetval [5] ═ {1,2,4,5,6}, and the new frame count sequence is {0xFD,0xFE,0xFF,0x01,0x02,0x03,0x04,0x05, … … };
then frame loss is calculated, and then the reference baseval is continued to the next frame count for the next round of processing.
Claims (10)
1. A method for correcting frame count and counting lost frames of wireless data is characterized in that a distance concept and an optimized bubble sorting algorithm are provided, the distance value and the corresponding frame count are sorted from small to large simultaneously by utilizing the optimized bubble sorting algorithm, correction of frame count sorting is completed, and then frame loss counting is carried out.
2. The method of claim 1, wherein one frame count is selected as a reference for a frame count sequence, and the distance from the other frame counts to the reference is calculated; correcting the sequencing of the frame counting sequence according to the sequence of the distance values from small to large; and for the corrected frame counting sequence, if the distance from the first frame counting to the reference after the reference is 0, the frame counting is removed.
3. The method of claim 1, wherein the method of frame count correction and frame loss statistics for wireless data comprises:
1) taking the first frame count of the frame count sequence as a reference;
2) counting 5 frames after reference as a detection value to obtain a detection value array checkval [5 ];
3) calculating the distance from each detection value in the detection value array checkval [5] to the reference to obtain a distance value array offset [5 ];
4) judging whether the distance values in the distance value array offsetval [5] are arranged in the order from small to large, if so, executing the step 6), and if not, executing the step 5);
5) arranging all distance values in the distance value array offset [5] according to the sequence from small to large, and updating the distance value array offset [5 ]; the detection value of the corresponding position moves along with the optimized bubble sorting algorithm in the updating process of the distance value array offsetval [5], and a frame counting sequence is corrected;
6) judging whether the first element in the updated distance value array offsetval [5] is 0, if so, removing the data frame corresponding to the distance value 0, advancing and supplementing the data frames behind the data frame in sequence to obtain a new data frame sequence, reacquiring the detection value array checkval [5] according to the new data frame sequence, and returning to the step 3); if not, executing step 7);
7) calculating frame loss;
8) the reference is continued to the next frame count and returns to step 2).
4. The method as claimed in claim 3, wherein the distance value is detected value-reference, and if the detected value-reference is less than 0, the distance algorithm is adjusted accordingly according to the counting rule adopted by the frame counting, so as to ensure that the distance value is greater than or equal to 0.
5. The method of claim 4 wherein the frame count is expressed in hexadecimal terms, and when the detection value-reference <0, the distance value is 256-reference + detection value.
6. The method of claim 3, wherein if the distance values in the distance value set offset [5] are not arranged in descending order, it indicates that there is a retransmission frame in the data frame sequence; for the case of a retransmitted frame, the ordering of the distance value array offsetval [5] and the detection value array checkval [5] is corrected.
7. The method as claimed in claim 3, wherein the optimized bubble sorting algorithm function is extended from a group of element sorting to a two-group element sorting, and the distance value is sorted from small to large, and the frame count detection value of the distance value corresponding to the index number is adjusted along with the position sequence, so as to correct the frame count.
8. The method of claim 3, wherein if the distance value in the set of distance values offsetval [5] is 0, indicating that there is a repeated frame in the data frame sequence, the repeated frame is removed before calculating the frame loss.
9. The method as claimed in claim 3, wherein in the step 6), it is only necessary to determine whether the first distance value in the distance value array offset [5] is 0.
10. The method for frame count correction and frame loss statistics of wireless data according to claim 3, wherein said step 7) comprises: and (4) making a difference between the counting of the next frame after the reference and the reference, and if the difference value delta t is greater than 1, determining that the lost frame number lostnum is delta t-1.
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