WO2023105705A1 - Timestamp correcting system, sensor system, and timestamp correcting method - Google Patents

Timestamp correcting system, sensor system, and timestamp correcting method Download PDF

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WO2023105705A1
WO2023105705A1 PCT/JP2021/045305 JP2021045305W WO2023105705A1 WO 2023105705 A1 WO2023105705 A1 WO 2023105705A1 JP 2021045305 W JP2021045305 W JP 2021045305W WO 2023105705 A1 WO2023105705 A1 WO 2023105705A1
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time
packet
time stamp
arrival
packets
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PCT/JP2021/045305
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French (fr)
Japanese (ja)
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賢一 松永
利彦 近藤
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日本電信電話株式会社
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Priority to PCT/JP2021/045305 priority Critical patent/WO2023105705A1/en
Publication of WO2023105705A1 publication Critical patent/WO2023105705A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/10Active monitoring, e.g. heartbeat, ping or trace-route
    • H04L43/106Active monitoring, e.g. heartbeat, ping or trace-route using time related information in packets, e.g. by adding timestamps

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  • the present invention relates to a time stamp correction system, a sensor system, and a time stamp correction method in data transmission and reception.
  • Non-Patent Document 1 In the IoT (Internet of Things) network, it is expected that various sensors will be connected, a large amount of data will be collected, and useful information will be extracted by analyzing that data. Therefore, terminals that accommodate sensors are required to meet various use cases and needs, and reduction of power consumption in long-term measurement is required (Non-Patent Document 1).
  • Non-Patent Document 2 In particular, in the sensor, intermittent operation is achieved by appropriately sleeping the MPU (Micro-Processing Unit), which consumes more power than other elements, and only the Analog Front End (AFE) operates continuously. Therefore, cost and power consumption can be reduced (Non-Patent Document 2).
  • MPU Micro-Processing Unit
  • AFE Analog Front End
  • Kenichi Matsunaga et al. "Proposal of multi-sensor data collection technology suitable for IoT,” 2016 Institute of Electronics, Information and Communication Engineers Communication Society Conference, B-18-56. "Development of a low-power, compact wearable sensor that enables measurement of electrocardiogram, acceleration, temperature and humidity for smart healthcare," NTT Technical Journal Focus on the NEWS, March 2020, pp. 57-58.
  • the reception timing is shifted and an error occurs in the time stamp.
  • the time stamp correction system provides a time stamp that is given to each of a plurality of packets when a plurality of packets transmitted at a predetermined transmission interval time are received.
  • a time stamp correction system for correcting stamps comprising: a delay circuit for delaying the time stamp of one of the plurality of packets; a time stamp of another packet received following the one packet; a subtracting unit that calculates a difference between the delayed packet and the time stamp as an arrival interval time; an estimator for calculating the number of packets, an arithmetic unit for multiplying the transmission interval time by the estimated value of the number of packets to calculate the dequantized arrival interval time, and the inverse quantized arrival interval time
  • a moving average filter that performs a moving average, and an addition unit that adds an initial time to the value obtained by the moving average.
  • a time stamp correction method is a method for correcting time stamps given to packets when a plurality of packets transmitted at a predetermined transmission interval time are received, wherein the subtraction unit comprises a step of calculating the difference between the timestamps as an arrival interval time; a step of a packet number estimating unit quantizing the arrival interval time; calculating the average value of the quantization number as the estimated value of the number of packets; a moving average filter performing a moving average on the dequantized inter-arrival time; and an adding unit adding an initial time to the value obtained by the moving average.
  • time stamp correction system it is possible to provide a time stamp correction system, a sensor system, and a time stamp correction method that reduce errors in time stamps attached to packets.
  • FIG. 1 is a block diagram showing the configuration of a sensor system according to the first embodiment of the invention.
  • FIG. 2A is a diagram for explaining the operation of the timestamp correction system according to the first embodiment of the present invention.
  • FIG. 2B is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention;
  • FIG. 3 is a block diagram showing the configuration of the time stamp correction system according to the first embodiment of the invention.
  • FIG. 4 is a flow chart showing the time stamp correction method according to the first embodiment of the present invention.
  • FIG. 5 is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention.
  • FIG. 6A is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention.
  • FIG. 6B is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention
  • FIG. 6C is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention
  • FIG. 6D is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention
  • FIG. 7 is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention.
  • FIG. 8 is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention.
  • FIG. 9 is a block diagram showing the configuration of a time stamp correction system according to the second embodiment of the invention.
  • FIG. 10 is a flow chart showing a time stamp correction method according to the second embodiment of the present invention.
  • FIG. 11 is a schematic diagram showing the configuration of a sensor system according to the third embodiment of the invention.
  • FIG. 12 is a schematic diagram showing the configuration of a sensor system according to the fourth embodiment of the invention.
  • a sensor system 10 includes a sensor 11 and a receiver 12, as shown in FIG. Signals are transmitted and received between the sensor 11 and the receiver 12 wirelessly or by wire.
  • the sensor 11 operates intermittently and includes an AFE 111 , a memory 112 , an MPU 113 and a transmitter 114 . It also has an AFE clock 115 connected to the AFE 111 and a packet clock 116 connected to the MPU 113 .
  • the AFE 111 samples and quantizes the measurement signal 1 at time TAFE counted by the AFE clock 115 .
  • the memory 112 stores the quantized measurement signal 1 as sensor data 2.
  • one packet 3 is composed of a predetermined number of sensor data 2.
  • the MPU 113 is activated at a predetermined interval T packet counted by the packet clock 116 and checks the memory 112 .
  • a wireless circuit for example, BLE, Bluetooth Low Energy
  • packet 3 is transmitted from transmission unit 114 .
  • the packet transmission interval time is T packet .
  • the receiver 12 includes a time stamp correction system 121 according to the present embodiment, a time stamp adding unit 122, and a receiving unit 123. It also has a timestamp clock 125 .
  • the time stamping unit 122 After the packet is received by the receiving unit 123, the time stamping unit 122 according to the present embodiment adds a time stamp T stamp , which is counted by the time stamping clock 125 and provided via the OS 124 of the receiver, to the packet. do.
  • the time stamps are synchronized by GPS (Global Positioning System), NTP (Network Time Protocol), NITZ (Network Identity and Time Zone), or the like.
  • the time stamp correction system 121 corrects the time stamp given to the packet input from the time stamp giving unit 122, as will be described later.
  • Timestamp Correction System ⁇ Configuration and Operation of Timestamp Correction System> The configuration and operation of the time stamping unit 122 according to this embodiment will be described below.
  • the TAFE at the AFE clock 115 has a large error due to low power consumption and cost reduction, and may deviate by a maximum of several minutes per day. This error is a problem for biosensors that measure over a day. Details are described below.
  • 2A and B show examples of packet transmission modes 131_1 and 132_1 and packet reception modes 131_2 and 132_2 when timestamp correction is not performed.
  • one packet length Lp corresponds to eight pieces of sensor data 2 .
  • White circles 3_1 to 3_4 indicate packets, and T1 to T4 indicate packet arrival intervals.
  • the clock 115 of the AFE may hold two or more packets of data (for example, packets 3_2 and 3_3) at startup (131_1). In this case, since the packets 3_2 and 3_3 are continuously transmitted, the packet arrival interval time T2 on the receiver side becomes very short (132_1).
  • the AFE clock is slower than the MPU startup interval, the amount of data in the packet to be transmitted at startup is insufficient (dotted line white circle 3'), as shown in FIG. 2B. At this time, no packet is transmitted (131_2). In this case, the packet arrival interval time T4 becomes longer on the receiver side (132_2).
  • the arrival interval time of packets fluctuates greatly depending on the AFE clock, and errors occur due to transmission errors during wireless transmission, so the time stamp at the time of reception is used as it is. Then the error increases.
  • FIG. 3 shows the configuration of the time stamp correction system 121 according to this embodiment.
  • FIG. 4 shows a flow chart of the time stamp correction method according to the present embodiment.
  • the time stamp correction system 121 includes a delay circuit 1211, a subtraction section 1212, a packet number estimation section 1213, a calculation section 1214, a moving average filter 1215, and an addition section 1216, as shown in FIG.
  • the time stamp correction system 121 acquires and retains the transmission interval time T packet in advance.
  • the transmission interval time T packet may be pre-stored in the time stamp correction system 121 or transmitted from the sensor 11 .
  • the time stamp correction system 121 receives the arrival time T arrival given to the packet.
  • the arrival time T_arrival is the same as the time stamp T_stamp .
  • the delay circuit 1211 is composed of a one-stage delay circuit, and delays the arrival time T arrival (time stamp T stamp ) of the received packet (one packet), for example, T arrival [i ⁇ 1].
  • the subtraction unit 1212 calculates the arrival time T arrival (for example, T arrival [i]) of the subsequently received packet (another packet) and the T arrival (for example, T arrival [i ⁇ 1]) delayed by the delay circuit. (eg, T arrival [i]-T arrival [i-1]) is calculated (step S11).
  • T arrival [i]-T arrival [i-1] is calculated (step S11).
  • the difference between the arrival times T arrival (time stamp T stamp ) is the arrival interval time T interval [i].
  • Packet number estimation section 1213 estimates the number of packets from arrival interval time T interval [i].
  • Quantization by the number of packets will be described with reference to FIGS. 6A to 6D, taking as an example packets received when the AFE clock is faster than the MPU activation interval.
  • Packets P(i) to P(i-5) are received and their respective arrival interval times are T interval (i) to T interval (i-4) (FIG. 6A).
  • Each of the actually received packet arrival interval times T interval (i) to T interval (i ⁇ 4) is compared with T packet , and the packet arrival interval times T interval (i) to T interval (i ⁇ 4) are calculated.
  • the quantization number be n (FIG. 6B).
  • T interval (i) is equivalent to T packet , the quantization number is "1".
  • T interval (i ⁇ 1) is equivalent to T packet , so the quantization number is “1”.
  • T interval (i-2) is shorter than T packet , the quantization number is "0”.
  • T interval (i-3) is equivalent to T packet , so the quantization number is "1”.
  • T interval (i-4) is equivalent to T packet , so the quantization number is "1".
  • the average of the quantized arrival interval times is calculated as an estimated value of the number of packets (step S14). In this case, since the number of arriving packets is 5, the average value is 4/5. In this way, the quantized inter-arrival time is flattened and the variation of the inter-arrival time is suppressed (Fig. 6D).
  • the real value of the arrival interval time is converted to an integer value, and noise can be reduced.
  • the calculation unit 1214 restores (converts) the quantized arrival interval time (integer value) to a real value. That is, inverse quantization is performed. Specifically, the transmission interval time T packet is multiplied by the quantized arrival interval time (integer value) (step S15). In the above example, (4/5)*T packet is calculated.
  • the inversely quantized arrival interval time is input to the moving average filter 1215 to perform moving average (step S16).
  • a moving average value is calculated using the average value of T intervals that is subsequently obtained as the average value of T intervals .
  • a simple moving average a weighted moving average, an exponential moving average, etc. can be used as the moving average.
  • a cutoff frequency Fc of the moving average filter 1215 is designed to be lower than the Nyquist frequency.
  • quantization noise 151 is distributed over the entire frequency range in the process of quantization and inverse quantization.
  • the quantization noise 151 is noise caused by information (analog value) lost during quantization.
  • the packet has a high frequency signal 152 such as a measurement signal and a low frequency signal 153 including information on time stamps.
  • the high frequency signal 152 varies in seconds and the low frequency signal 153 varies in minutes.
  • the moving average filter 1215 By setting the cutoff frequency Fc of the moving average filter 1215 to be lower than the Nyquist frequency, the moving average filter 1215 functions as a low-pass filter, blocking the high frequency signal 152 and allowing the low frequency signal 153 to pass therethrough. can correct timestamps contained in .
  • the low frequency signal 153 fluctuates in minutes while the high frequency signal 152 fluctuates in seconds, it is effective to set the cutoff frequency Fc to 1/60 or less of the frequency of the high frequency signal 152.
  • the quantization noise 151 is uniformly distributed with respect to frequency, the noise can be reduced by f packet /2Fc.
  • the adder 1216 adds the initial time T0 , which is an offset, to the calculated moving average value of the arrival interval time to obtain the time stamp correction value T_correct (step S17).
  • the time stamp correction system 121 by configuring the moving average filter 1215 in multiple stages, the slope 154 of the low-pass filter characteristic of the moving average filter 1215 becomes steeper, the jitter component can be reduced, and the jitter component can be reduced with higher accuracy and stability. Can block high frequency signals.
  • there is a delay in tracking the variation of T packet but this delay is not a problem in a biological data measurement system that cuts DC components.
  • the output of the moving average filter 1215 may be fed back to the step of quantizing the arrival interval time (step S12) to calculate the moving average value again (dotted line arrow in FIG. 4). .
  • the T packet changes with the passage of time, so by performing the calculation again using the updated T packet , it is possible to correct the time stamp with higher accuracy.
  • the moving average filter can remove noise, mitigate delays, and reduce timestamp errors.
  • the T interval contains temporally correlated noise. Therefore, this noise can be easily removed by the moving average filter 1215 . That is, rather than using the arrival time including noise and delay as it is, using the transmission interval time T packet as a reference can reduce jitter and obtain a time stamp with high precision.
  • signal processing basically consists of delay and sum-of-product operations
  • acceleration processing by a DSP digital signal processor
  • correction since correction is performed with clocks synchronized by GPS, NIP, NITZ, etc., correction can be performed with high accuracy.
  • a sensor system 20 according to the present embodiment has substantially the same configuration as that of the first embodiment, except for the configuration of a time stamp correction system 221 .
  • FIG. 9 shows the configuration of the time stamp correction system 221 according to this embodiment. Further, FIG. 10 shows a flowchart of the time stamp correction method according to this embodiment.
  • the time stamp correction system 221 includes a multi-stage delay circuit 2211, a subtraction section 2212, a packet number estimation section 2213, a calculation section 2214, a moving average filter 2215, and an addition section 2216. .
  • the time stamp correction system 221 receives the arrival time T arrival (time stamp T stamp ) given to the packet.
  • the delay circuit 2211 is composed of M stages of delay circuits, and delays the input T arrival (for example, T arrival [i ⁇ 1]).
  • T_arrival is the same as T_stamp .
  • the subtraction unit 2212 uses the outputs of the M-stage delay circuits to calculate the difference between the arrival times, that is, the arrival interval time (step S21). As a result, M inter-arrival times are obtained.
  • the packet number estimation unit 2213 quantizes the arrival interval time, and calculates the average value of this quantization number as the estimated number of packets (steps S22 to S24).
  • the calculation unit 2214 multiplies the transmission interval time T packet by the quantized arrival interval time, inversely quantizes it, and converts it into a real value (step S25).
  • the quantized arrival interval time is multiplied by the T packet value and divided by M (step S26).
  • the arrival interval times that have been inversely quantized and divided by M are input to the moving average filter 2215 to perform moving averaging (step S27).
  • the adder 2216 adds the initial time T0 , which is an offset, to the calculated moving average value of the arrival interval time to obtain the time stamp correction value T_correct (step S28).
  • the output of the moving average filter 2215 may be fed back to the step of quantizing the arrival interval time (step S22) to calculate the moving average value again (FIG. 10). middle, dotted arrow).
  • the moving average filter can remove noise, mitigate delays, and reduce timestamp errors.
  • multi-stage delay circuits can remove correlated noise before the number of packets is quantized.
  • the data multiplied by M is multiplied by 1/M in inverse quantization, the noise itself due to inverse quantization can be reduced.
  • the sensor system 30 includes sensors 31_1 to 31_M and mobile information terminals 32_1 to 32_M such as smartphones.
  • a time stamp correction system according to the second embodiment may be provided.
  • data acquired by the sensors 31_1 to 31_M are collected by the mobile information terminals 32_1 to 32_M.
  • the collected data is given a time stamp in the portable information terminals 32_1 to 32_M, the time stamp is corrected, transmitted to the network system 4, and handled in a form such as a cloud.
  • the time stamp correction system can remove noise, mitigate delays, and reduce time stamp errors.
  • the correction since the correction is performed with a clock synchronized by GPS, NIP, NITZ, etc., the correction can be performed with high accuracy.
  • the resolution of timestamps is limited to 1 ms, so the achievable jitter value may be limited.
  • the problem is reduced to the number of packets arriving at an arbitrary time interval, and the precision of the time stamp itself is not a problem. Therefore, the sensor system according to the present embodiment is effective when performing software processing on the OS of the smartphone.
  • one smartphone may be configured to connect to multiple sensors and provide time stamps.
  • the effect of delay is large, and the effect on other applications is also large. Therefore, a configuration in which a single smartphone is connected to a single sensor is more desirable than a configuration in which a plurality of sensors are connected to a single smartphone.
  • a sensor system 40 according to the present embodiment includes sensors 41_1 to 41_M, data collection terminals 42_1 to 42_N, and a server 43, as shown in FIG.
  • the data collection terminals 42_1 to 42_N are provided with time stamping units
  • the server 43 is provided with the time stamp correction system according to the first embodiment.
  • a time stamp correction system according to the second embodiment may be provided.
  • the data acquired by the sensors 41_1 to 42_M are collected by the data collection terminals 42_1 to 42_N and time stamped.
  • the time-stamped data is transmitted to the server 43, the time stamp is corrected by the server 43, transmitted to the network system 4, and handled in a form such as a cloud.
  • the sensor system 40 is configured such that the data collection terminals 42_1 to 42_N only apply time stamps, and the server 43 corrects the time stamps.
  • the time stamp correction system can remove noise, mitigate delays, and reduce time stamp errors. Furthermore, since the data collection terminal can allocate resources only to giving time stamps, it is possible to prevent degradation of time stamp accuracy due to calculation in an environment where a plurality of sensors are connected to the data collection terminal.
  • the present invention relates to a time stamp correction system, a sensor system, and a time stamp correction method, and can be applied to systems and communication systems that transmit and receive data acquired by sensors.
  • time stamp correction system 1211 delay circuit 1212 subtraction unit 1213 packet number estimation unit 1214 calculation unit 1215 moving average filter 1216 addition unit

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Abstract

A timestamp correcting system (121) according to the present invention is a system for correcting a timestamp attached to a packet when receiving packets transmitted at a predetermined transmission time interval, and comprises: a delay circuit (1211) that delays a timestamp; a subtraction unit (1212) that calculates a difference in timestamp between a delayed packet and a subsequently received packet as an arrival time interval; a packet number estimating unit (1213) that calculates an average value of quantized numbers of arrival time intervals as a packet number estimation value; a computing unit (1214) that multiplies the transmission time interval by the packet number estimation value to calculate an arrival time interval; a moving average filter (1215) that executes moving averaging of the arrival time intervals; and an addition unit (1216) that adds an initial time to a moving average value. In this way, the present invention can provide a timestamp correcting system that reduces an error of a timestamp attached to a packet.

Description

タイムスタンプ補正システム、センサシステムおよびタイムスタンプ補正方法Time stamp correction system, sensor system and time stamp correction method
 本発明は、データの送受信におけるタイムスタンプ補正システム、センサシステムおよびタイムスタンプ補正方法に関する。 The present invention relates to a time stamp correction system, a sensor system, and a time stamp correction method in data transmission and reception.
 IoT(Internet of Things)ネットワークにおいて、各種のセンサが接続され、多種多量のデータを収集し、そのデータを解析することで有益な情報を引き出すことが期待されている。そこで、センサを収容する端末が多様なユースケース・ニーズに対応することが求められており、長時間の測定において消費電力の削減が必要とされている(非特許文献1)。 In the IoT (Internet of Things) network, it is expected that various sensors will be connected, a large amount of data will be collected, and useful information will be extracted by analyzing that data. Therefore, terminals that accommodate sensors are required to meet various use cases and needs, and reduction of power consumption in long-term measurement is required (Non-Patent Document 1).
 とくに、センサにおいて、他の素子に比べて消費電力の大きいMPU(Micro-Processing Unit)を適切にスリープすることで間欠動作を実現し、アナログフロントエンド(Analog Front End、AFE)のみを連続動作させることで、コスト及び消費電力を削減できる(非特許文献2)。 In particular, in the sensor, intermittent operation is achieved by appropriately sleeping the MPU (Micro-Processing Unit), which consumes more power than other elements, and only the Analog Front End (AFE) operates continuously. Therefore, cost and power consumption can be reduced (Non-Patent Document 2).
 しかしながら、データ収集端末でタイムスタンプを実行する場合、センサとデータ収集端末間の通信に関わる遅延時間はキャンセルできず、タイムスタンプに誤差が生じる。 However, when timestamping is performed on the data collection terminal, the delay time associated with communication between the sensor and the data collection terminal cannot be canceled, and an error occurs in the timestamp.
 また、MPUが起動する間隔が正確であったとしても、AFEが搭載するクロックに定常的に誤差が生じ、送信するパケットの間隔に変動が生じ、タイムスタンプに誤差が生じる。 Also, even if the interval at which the MPU is activated is accurate, there will be a constant error in the clock mounted on the AFE, fluctuations in the interval between packets to be transmitted, and an error in the time stamp.
 また、無線部への外部からの雑音により、受信タイミングがずれて、タイムスタンプに誤差が生じる。 Also, due to noise from the outside to the radio unit, the reception timing is shifted and an error occurs in the time stamp.
 上述したような課題を解決するために、本発明に係るタイムスタンプ補正システムは、所定の送信間隔時間で送信された複数のパケットが受信されるときに、前記複数のパケットそれぞれに付与されるタイムスタンプを補正するタイムスタンプ補正システムであって、前記複数のパケットのうち、一のパケットのタイムスタンプを遅延する遅延回路と、前記一のパケットに引き続き受信される他のパケットのタイムスタンプと、前記遅延された前記一のパケットのタイムスタンプとの差を、到来間隔時間として算出する減算部と、前記到来間隔時間を量子化し、当該量子化数の平均値を、前記パケットの数の推定値として算出するパケット数推定部と、前記パケットの数の推定値を、前記送信間隔時間に乗じて、逆量子化された到来間隔時間を算出する演算部と、前記逆量子化された到来間隔時間について移動平均を実行する移動平均フィルタと、前記移動平均で得られた値に初期時刻を加算する加算部とを備える。 In order to solve the above-described problems, the time stamp correction system according to the present invention provides a time stamp that is given to each of a plurality of packets when a plurality of packets transmitted at a predetermined transmission interval time are received. A time stamp correction system for correcting stamps, comprising: a delay circuit for delaying the time stamp of one of the plurality of packets; a time stamp of another packet received following the one packet; a subtracting unit that calculates a difference between the delayed packet and the time stamp as an arrival interval time; an estimator for calculating the number of packets, an arithmetic unit for multiplying the transmission interval time by the estimated value of the number of packets to calculate the dequantized arrival interval time, and the inverse quantized arrival interval time A moving average filter that performs a moving average, and an addition unit that adds an initial time to the value obtained by the moving average.
 また、本発明に係るタイムスタンプ補正方法は、所定の送信間隔時間で送信された複数のパケットが受信されるときに、前記パケットに付与されるタイムスタンプを補正する方法であって、減算部が、前記タイムスタンプの差分を、到来間隔時間として算出するステップと、パケット数推定部が、前記到来間隔時間を量子化するステップと、前記パケット数推定部が、前記量子化された到来間隔時間の量子化数の平均値を、前記パケットの数の推定値として算出するステップと、演算部が、前記パケットの数の推定値を、前記送信間隔時間に乗じて、逆量子化された到来間隔時間をステップと、移動平均フィルタが、前記逆量子化された到来間隔時間について、移動平均を実行するステップと、加算部が、前記移動平均で得られた値に、初期時刻を加算するステップとを備える。 Further, a time stamp correction method according to the present invention is a method for correcting time stamps given to packets when a plurality of packets transmitted at a predetermined transmission interval time are received, wherein the subtraction unit comprises a step of calculating the difference between the timestamps as an arrival interval time; a step of a packet number estimating unit quantizing the arrival interval time; calculating the average value of the quantization number as the estimated value of the number of packets; a moving average filter performing a moving average on the dequantized inter-arrival time; and an adding unit adding an initial time to the value obtained by the moving average. Prepare.
 本発明によれば、パケットに付与されるタイムスタンプの誤差を低減するタイムスタンプ補正システム、センサシステムおよびタイムスタンプ補正方法を提供できる。 According to the present invention, it is possible to provide a time stamp correction system, a sensor system, and a time stamp correction method that reduce errors in time stamps attached to packets.
図1は、本発明の第1の実施の形態に係るセンサシステムの構成を示すブロック図である。FIG. 1 is a block diagram showing the configuration of a sensor system according to the first embodiment of the invention. 図2Aは、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 2A is a diagram for explaining the operation of the timestamp correction system according to the first embodiment of the present invention. 図2Bは、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 2B is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention; 図3は、本発明の第1の実施の形態に係るタイムスタンプ補正システムの構成を示すブロック図である。FIG. 3 is a block diagram showing the configuration of the time stamp correction system according to the first embodiment of the invention. 図4は、本発明の第1の実施の形態に係るタイムスタンプ補正方法を示すフローチャート図である。FIG. 4 is a flow chart showing the time stamp correction method according to the first embodiment of the present invention. 図5は、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 5 is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention. 図6Aは、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 6A is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention; 図6Bは、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 6B is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention; 図6Cは、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 6C is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention; 図6Dは、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 6D is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention; 図7は、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 7 is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention. 図8は、本発明の第1の実施の形態に係るタイムスタンプ補正システムの動作を説明するための図である。FIG. 8 is a diagram for explaining the operation of the time stamp correction system according to the first embodiment of the present invention. 図9は、本発明の第2の実施の形態に係るタイムスタンプ補正システムの構成を示すブロック図である。FIG. 9 is a block diagram showing the configuration of a time stamp correction system according to the second embodiment of the invention. 図10は、本発明の第2の実施の形態に係るタイムスタンプ補正方法を示すフローチャート図である。FIG. 10 is a flow chart showing a time stamp correction method according to the second embodiment of the present invention. 図11は、本発明の第3の実施の形態に係るセンサシステムの構成を示す概要図である。FIG. 11 is a schematic diagram showing the configuration of a sensor system according to the third embodiment of the invention. 図12は、本発明の第4の実施の形態に係るセンサシステムの構成を示す概要図である。FIG. 12 is a schematic diagram showing the configuration of a sensor system according to the fourth embodiment of the invention.
<第1の実施の形態>
 本発明の第1の実施の形態に係るタイムスタンプ補正システム、センサシステムおよびタイムスタンプ補正方法について、図1~図8を参照して説明する。
<First Embodiment>
A timestamp correction system, a sensor system, and a timestamp correction method according to a first embodiment of the present invention will be described with reference to FIGS. 1 to 8. FIG.
<センサシステムの構成>
 本実施の形態に係るセンサシステム10は、図1に示すように、センサ11と受信機12を備える。センサ11と受信機12との間は、無線又は有線で信号が送受信される。
<Configuration of sensor system>
A sensor system 10 according to the present embodiment includes a sensor 11 and a receiver 12, as shown in FIG. Signals are transmitted and received between the sensor 11 and the receiver 12 wirelessly or by wire.
 センサ11は、間欠で動作し、AFE111と、メモリ112と、MPU113と送信部114とを備える。また、AFE111と接続するAFEクロック115と、MPU113と接続するパケット用クロック116とを備える。 The sensor 11 operates intermittently and includes an AFE 111 , a memory 112 , an MPU 113 and a transmitter 114 . It also has an AFE clock 115 connected to the AFE 111 and a packet clock 116 connected to the MPU 113 .
 AFE111は、AFEクロック115がカウントする時刻TAFEで、計測信号1をサンプリングして量子化する。 The AFE 111 samples and quantizes the measurement signal 1 at time TAFE counted by the AFE clock 115 .
 メモリ112は、量子化された計測信号1をセンサデータ2として記憶する。 The memory 112 stores the quantized measurement signal 1 as sensor data 2.
 ここで、1個のパケット3は、所定の数のセンサデータ2により構成される。 Here, one packet 3 is composed of a predetermined number of sensor data 2.
 MPU113は、パケット用クロック116がカウントする所定の間隔Tpacketで起動され、メモリ112を確認する。メモリ112に1個のパケット3内に収納するセンサデータ2が蓄積されている場合、無線回路(例えばBLE、Bluetooth Low Energy)を起動して、送信部114よりパケット3を送信する。このように、パケット送信間隔時間は、Tpacketである。 The MPU 113 is activated at a predetermined interval T packet counted by the packet clock 116 and checks the memory 112 . When sensor data 2 to be stored in one packet 3 is accumulated in memory 112 , a wireless circuit (for example, BLE, Bluetooth Low Energy) is activated and packet 3 is transmitted from transmission unit 114 . Thus, the packet transmission interval time is T packet .
 受信機12は、本実施の形態に係るタイムスタンプ補正システム121と、タイムスタンプ付与部122と、受信部123とを備える。また、タイムスタンプ用クロック125を備える。 The receiver 12 includes a time stamp correction system 121 according to the present embodiment, a time stamp adding unit 122, and a receiving unit 123. It also has a timestamp clock 125 .
 本実施の形態に係るタイムスタンプ付与部122は、受信部123でパケットを受信した後に、タイムスタンプ用クロック125にカウントされ、受信機のOS124を介して提供されるタイムスタンプTstampをパケットに付与する。ここで、タイムスタンプは、GPS(Global Positioning System)、NTP(Network Time Protocol)、NITZ(Network Identity and Time Zone)などで同期されている。 After the packet is received by the receiving unit 123, the time stamping unit 122 according to the present embodiment adds a time stamp T stamp , which is counted by the time stamping clock 125 and provided via the OS 124 of the receiver, to the packet. do. Here, the time stamps are synchronized by GPS (Global Positioning System), NTP (Network Time Protocol), NITZ (Network Identity and Time Zone), or the like.
 タイムスタンプ補正システム121は、後述の通り、タイムスタンプ付与部122より入力されるパケットに付与されたタイムスタンプを補正する。 The time stamp correction system 121 corrects the time stamp given to the packet input from the time stamp giving unit 122, as will be described later.
<タイムスタンプ補正システムの構成と動作>
 本実施の形態に係るタイムスタンプ付与部122の構成と動作について、以下に説明する。
<Configuration and Operation of Timestamp Correction System>
The configuration and operation of the time stamping unit 122 according to this embodiment will be described below.
 まず、タイムスタンプ補正システムを有さないについて説明する。この構成では、AFEクロック115でのTAFEは低消費電力化とコスト削減のために誤差が大きく、最大で一日当たり数分程度ずれる場合がある。この誤差は、一日以上測定する生体センサでは問題となる。詳細を以下に説明する。 First, the case without a time stamp correction system will be described. In this configuration, the TAFE at the AFE clock 115 has a large error due to low power consumption and cost reduction, and may deviate by a maximum of several minutes per day. This error is a problem for biosensors that measure over a day. Details are described below.
 図2A、Bに、タイムスタンプ補正を実行しない場合のパケットの送信の態様131_1、132_1と、受信の態様131_2、132_2の例を示す。ここでは、1個のパケットの長さLpは、8個のセンサデータ2に相当する。白丸3_1~3_4はパケットを示し、T1~T4はパケットの到来間隔時間を示す。 2A and B show examples of packet transmission modes 131_1 and 132_1 and packet reception modes 131_2 and 132_2 when timestamp correction is not performed. Here, one packet length Lp corresponds to eight pieces of sensor data 2 . White circles 3_1 to 3_4 indicate packets, and T1 to T4 indicate packet arrival intervals.
 AFEのクロック115がMPU113の起動間隔より速い場合、図2Aに示すように、起動時に2パケット以上分のデータ(例えば、パケット3_2、3_3に相当)を保有する場合がある(131_1)。この場合、パケット3_2、3_3を連続して送信することになるので、受信機側でパケットの到来間隔時間T2が非常に短くなる(132_1)。 If the clock 115 of the AFE is faster than the startup interval of the MPU 113, as shown in FIG. 2A, it may hold two or more packets of data (for example, packets 3_2 and 3_3) at startup (131_1). In this case, since the packets 3_2 and 3_3 are continuously transmitted, the packet arrival interval time T2 on the receiver side becomes very short (132_1).
 また、AFEのクロックがMPUの起動間隔より遅い場合、図2Bに示すように、起動時に送信するパケットのデータ量が不足する(点線白丸3’)。このとき、パケットは送信されない(131_2)。この場合、受信機側でパケットの到来間隔時間T4が長くなる(132_2)。 Also, if the AFE clock is slower than the MPU startup interval, the amount of data in the packet to be transmitted at startup is insufficient (dotted line white circle 3'), as shown in FIG. 2B. At this time, no packet is transmitted (131_2). In this case, the packet arrival interval time T4 becomes longer on the receiver side (132_2).
 このように、タイムスタンプ補正システムを有さない構成では、AFEのクロックによってパケットの到来間隔時間が大きく変動し、無線送信時の送信エラーによるエラーも発生するため、受信時のタイムスタンプをそのまま使用すると誤差が増大する。 In this way, in a configuration without a time stamp correction system, the arrival interval time of packets fluctuates greatly depending on the AFE clock, and errors occur due to transmission errors during wireless transmission, so the time stamp at the time of reception is used as it is. Then the error increases.
 次に、本実施の形態に係るタイムスタンプ補正システム121およびタイムスタンプ補正システムについて説明する。図3に、本実施の形態に係るタイムスタンプ補正システム121の構成を示す。また、図4に、本実施の形態に係るタイムスタンプ補正方法のフローチャート図を示す。 Next, the time stamp correction system 121 and the time stamp correction system according to this embodiment will be described. FIG. 3 shows the configuration of the time stamp correction system 121 according to this embodiment. Also, FIG. 4 shows a flow chart of the time stamp correction method according to the present embodiment.
 タイムスタンプ補正システム121は、図3に示すように、遅延回路1211と、減算部1212と、パケット数推定部1213と、演算部1214と、移動平均フィルタ1215と、加算部1216とを備える。 The time stamp correction system 121 includes a delay circuit 1211, a subtraction section 1212, a packet number estimation section 1213, a calculation section 1214, a moving average filter 1215, and an addition section 1216, as shown in FIG.
 ここで、タイムスタンプ補正システム121は、送信間隔時間Tpacketを予め取得し保有する。送信間隔時間Tpacketは、タイムスタンプ補正システム121に予め記憶されてもよく、センサ11より送信されてもよい。 Here, the time stamp correction system 121 acquires and retains the transmission interval time T packet in advance. The transmission interval time T packet may be pre-stored in the time stamp correction system 121 or transmitted from the sensor 11 .
 タイムスタンプ補正システム121に、パケットに付与された到来時刻Tarrivalが入力される。ここで、到来時刻Tarrivalは、タイムスタンプTstampと同じである。 The time stamp correction system 121 receives the arrival time T arrival given to the packet. Here, the arrival time T_arrival is the same as the time stamp T_stamp .
 遅延回路1211は、1段の遅延回路で構成され、受信されたパケット(一のパケット)の到来時刻Tarrival(タイムスタンプTstamp)例えばTarrival[i-1]を遅延させる。 The delay circuit 1211 is composed of a one-stage delay circuit, and delays the arrival time T arrival (time stamp T stamp ) of the received packet (one packet), for example, T arrival [i−1].
 減算部1212では、引き続き受信されたパケット(他のパケット)の到来時刻Tarrival(例えば、Tarrival[i])と、遅延回路で遅延させたTarrival(例えば、Tarrival[i-1])との差分(例えば、Tarrival[i]-Tarrival[i-1])を算出する(ステップS11)。この到来時刻Tarrival(タイムスタンプTstamp)の差分が到来間隔時間Tinterval[i]である。 The subtraction unit 1212 calculates the arrival time T arrival (for example, T arrival [i]) of the subsequently received packet (another packet) and the T arrival (for example, T arrival [i−1]) delayed by the delay circuit. (eg, T arrival [i]-T arrival [i-1]) is calculated (step S11). The difference between the arrival times T arrival (time stamp T stamp ) is the arrival interval time T interval [i].
 パケット数推定部1213は、到来間隔時間Tinterval[i]よりパケット数を推定する。 Packet number estimation section 1213 estimates the number of packets from arrival interval time T interval [i].
 ここで、到来間隔時間は、図5に示すように、センサからのパケットの送信間隔時間Tpacketの整数倍(n)に対してノイズをもって分布する。そこで、このノイズをキャンセルするために、Tpacketの推定値をn=1として、n=0、1,2、…と送信間隔内で送られたと推定されるパケット数で量子化する(ステップS12)。 Here, as shown in FIG. 5, the arrival interval time is distributed with noise with respect to integral multiples (n) of the packet transmission interval time T packet from the sensor. Therefore, in order to cancel this noise, the estimated value of T packet is set to n=1, and n=0, 1, 2, . ).
 パケット数での量子化について、AFEのクロックがMPUの起動間隔より速い場合に受信されるパケットを例として、図6A~図6Dを参照して説明する。 Quantization by the number of packets will be described with reference to FIGS. 6A to 6D, taking as an example packets received when the AFE clock is faster than the MPU activation interval.
 パケットP(i)~P(i-5)が受信され、それぞれの到来間隔時間をTinterval(i)~Tinterval(i-4)とする(図6A)。 Packets P(i) to P(i-5) are received and their respective arrival interval times are T interval (i) to T interval (i-4) (FIG. 6A).
 まず、受信するパケット間の時間を送信間隔時間Tpacketとする。 First, let the time between packets to be received be the transmission interval time T packet .
 実際に受信したパケットの到来間隔時間Tinterval(i)~Tinterval(i-4)それぞれをTpacketと比較して、パケットの到来間隔時間隔Tinterval(i)~Tinterval(i-4)がTpacketのn倍に相当するとき、量子化数をnとする(図6B)。 Each of the actually received packet arrival interval times T interval (i) to T interval (i−4) is compared with T packet , and the packet arrival interval times T interval (i) to T interval (i−4) are calculated. When is equivalent to n times T packet , let the quantization number be n (FIG. 6B).
 具体的には、Tinterval(i)がTpacketと同等なので、量子化数「1」である。同様に、Tinterval(i-1)がTpacketと同等なので、量子化数「1」である。次に、Tinterval(i-2)がTpacketより短いので、量子化数「0」である。次に、Tinterval(i-3)がTpacketと同等なので、量子化数「1」である。同様に、Tinterval(i-4)がTpacketと同等なので、量子化数「1」である。 Specifically, since T interval (i) is equivalent to T packet , the quantization number is "1". Similarly, T interval (i−1) is equivalent to T packet , so the quantization number is “1”. Next, since T interval (i-2) is shorter than T packet , the quantization number is "0". Next, T interval (i-3) is equivalent to T packet , so the quantization number is "1". Similarly, T interval (i-4) is equivalent to T packet , so the quantization number is "1".
 このように、量子化された到来間隔時間は、1→1→0→1→1と変動する(図6C)。 In this way, the quantized inter-arrival time varies from 1→1→0→1→1 (FIG. 6C).
 次に、量子化された到来間隔時間の量子化数すなわちパケット数の合計を算出する(ステップS13)。この場合は、1+1+0+1+1=4となる。次に、量子化された到来間隔時間の平均を、パケット数の推定値として算出する(ステップS14)。この場合は、到来したパケット数が5なので、平均値は4/5になる。このように、量子化された到来間隔時間が平坦化され、到来間隔時間の変動は抑制される(図6D)。 Next, the quantization number of the quantized arrival interval time, that is, the total number of packets is calculated (step S13). In this case, 1+1+0+1+1=4. Next, the average of the quantized arrival interval times is calculated as an estimated value of the number of packets (step S14). In this case, since the number of arriving packets is 5, the average value is 4/5. In this way, the quantized inter-arrival time is flattened and the variation of the inter-arrival time is suppressed (Fig. 6D).
 これにより、到来間隔時間の実数値が整数値に変換され、ノイズが低減できる。 As a result, the real value of the arrival interval time is converted to an integer value, and noise can be reduced.
 次に、演算部1214で、量子化された到来間隔時間(整数値)を実数値に戻す(変換する)。すなわち逆量子化を実行する。具体的には、量子化された到来間隔時間(整数値)を送信間隔時間Tpacketに乗じる(ステップS15)。上述の例では、(4/5)×Tpacketが算出される。 Next, the calculation unit 1214 restores (converts) the quantized arrival interval time (integer value) to a real value. That is, inverse quantization is performed. Specifically, the transmission interval time T packet is multiplied by the quantized arrival interval time (integer value) (step S15). In the above example, (4/5)*T packet is calculated.
 次に、逆量子化された到来間隔時間を、移動平均フィルタ1215に入力して、移動平均を実行する(ステップS16)。ここで、Tintervalの平均値に、引き続き取得されるTintervalの平均値を用いて移動平均値を算出する。 Next, the inversely quantized arrival interval time is input to the moving average filter 1215 to perform moving average (step S16). Here, a moving average value is calculated using the average value of T intervals that is subsequently obtained as the average value of T intervals .
 例えば、図7に示すように、任意の(i番目の)到来間隔時間Tinterval[i]からN-1個前の到来間隔時間Tinterval[i-N+1]までの到来間隔時間に対して、移動平均を算出する。 For example, as shown in FIG. 7, for an arrival interval time from an arbitrary (i-th) arrival interval time T interval [i] to an arrival interval time T interval [i−N+1] preceding N-1 times, Calculate the moving average.
 ここで、移動平均には、単純移動平均、加重移動平均、指数移動平均などを用いることができる。 Here, a simple moving average, a weighted moving average, an exponential moving average, etc. can be used as the moving average.
 移動平均フィルタ1215の処理(移動平均)の効果を、以下に説明する。 The effect of the processing (moving average) of the moving average filter 1215 will be explained below.
 移動平均フィルタ1215のカットオフ周波数Fcは、ナイキスト周波数より低く設計される。ここで、ナイキスト周波数は、1/Tpacket=fpacketとするとき、fpacket/2で表される周波数である。 A cutoff frequency Fc of the moving average filter 1215 is designed to be lower than the Nyquist frequency. Here, the Nyquist frequency is a frequency represented by f packet /2 when 1/T packet =f packet .
 図8に示すように、量子化および逆量子化の過程で、周波数全域に量子化雑音151が分布する。量子化雑音151は、量子化時に欠損する情報(アナログ値)に起因する雑音である。 As shown in FIG. 8, quantization noise 151 is distributed over the entire frequency range in the process of quantization and inverse quantization. The quantization noise 151 is noise caused by information (analog value) lost during quantization.
 また、実際にセンサデータをパケットで伝送する場合、パケットは、計測信号などの高周波信号152と、タイムスタンプに関する情報を含む低周波信号153とを有する。ここで、高周波信号152は秒単位で変動し、低周波信号153は分単位で変動する。 Also, when sensor data is actually transmitted in a packet, the packet has a high frequency signal 152 such as a measurement signal and a low frequency signal 153 including information on time stamps. Here, the high frequency signal 152 varies in seconds and the low frequency signal 153 varies in minutes.
 移動平均フィルタ1215のカットオフ周波数Fcをナイキスト周波数より低くすることにより、移動平均フィルタ1215はローパスフィルタとして機能して、高周波信号152を遮断して、低周波信号153を透過させ、低周波信号153に含まれるタイムスタンプを補正できる。 By setting the cutoff frequency Fc of the moving average filter 1215 to be lower than the Nyquist frequency, the moving average filter 1215 functions as a low-pass filter, blocking the high frequency signal 152 and allowing the low frequency signal 153 to pass therethrough. can correct timestamps contained in .
 ここで、秒単位で変動する高周波信号152に対して、低周波信号153は分単位で変動するので、カットオフ周波数Fcを高周波信号152の周波数の1/60以下に設定すれば有効である。 Here, since the low frequency signal 153 fluctuates in minutes while the high frequency signal 152 fluctuates in seconds, it is effective to set the cutoff frequency Fc to 1/60 or less of the frequency of the high frequency signal 152.
 また、量子化雑音151は周波数に対して一定に分布するので、fpacket/2Fcで雑音を低減できる。 Also, since the quantization noise 151 is uniformly distributed with respect to frequency, the noise can be reduced by f packet /2Fc.
 最後に、加算部1216で、算出された到来間隔時間の移動平均値に、オフセットである初期時刻Tを加算することにより、タイムスタンプ補正値Tcorrectが取得する(ステップS17)。 Finally, the adder 1216 adds the initial time T0 , which is an offset, to the calculated moving average value of the arrival interval time to obtain the time stamp correction value T_correct (step S17).
 ここで、初期時刻Tの決定については、最初の到来時刻を使用しても、最小二乗法などを使用して推定しても数10ms程度の絶対時間誤差しか生じないため、秒単位以上でずれが生じる適用前に比べて影響は少ない。 Here, regarding the determination of the initial time T0 , whether the first arrival time is used or the method of least squares is used for estimation, only an absolute time error of about several tens of ms occurs. The effect is small compared to before the application where the deviation occurs.
 また、タイムスタンプ補正システム121において、移動平均フィルタ1215を多段で構成することにより、移動平均フィルタ1215のローパスフィルタ特性の傾き154が急峻になり、ジッター成分を低減でき、より高精度で安定して高周波信号を遮断できる。その反面、Tpacketの変動の追跡に遅延が生じるが、この遅延は直流成分をカットする生体データの計測システムにおいては支障にならない程度である。 Further, in the time stamp correction system 121, by configuring the moving average filter 1215 in multiple stages, the slope 154 of the low-pass filter characteristic of the moving average filter 1215 becomes steeper, the jitter component can be reduced, and the jitter component can be reduced with higher accuracy and stability. Can block high frequency signals. On the other hand, there is a delay in tracking the variation of T packet , but this delay is not a problem in a biological data measurement system that cuts DC components.
 また、Tpacketの変動速度は、温度変化や経年劣化に依存して非常に遅いので、フィルタの帯域幅を狭める影響が少ない。 In addition, since the speed of change of T packet is very slow depending on temperature change and aging deterioration, there is little effect of narrowing the bandwidth of the filter.
 また、タイムスタンプ補正方法において、移動平均フィルタ1215の出力を到来間隔時間の量子化のステップ(ステップS12)にフィードバックして、再度移動平均値を算出してもよい(図4中、点線矢印)。これにより、時間経過に伴いTpacketが変化するので、更新したTpacketを用いて再度計算を行うことにより、より高精度でタイムスタンプを補正することができる。 Further, in the time stamp correction method, the output of the moving average filter 1215 may be fed back to the step of quantizing the arrival interval time (step S12) to calculate the moving average value again (dotted line arrow in FIG. 4). . As a result, the T packet changes with the passage of time, so by performing the calculation again using the updated T packet , it is possible to correct the time stamp with higher accuracy.
 本実施の形態に係るタイムスタンプ補正システムによれば、移動平均フィルタによって、雑音を除去でき、遅延を緩和でき、タイムスタンプの誤差を低減できる。 According to the timestamp correction system according to the present embodiment, the moving average filter can remove noise, mitigate delays, and reduce timestamp errors.
 さらに、パケットの送信エラーが生じた場合は、直後に2つ以上のパケットを連続送信するため、Tintervalは時間的に相関のある雑音を含む。そこで、この雑音を移動平均フィルタ1215により容易に除去できる。すなわち、雑音や遅延を含む到来時刻をそのまま使用するよりも、送信間隔時間Tpacketを基準とする方が、ジッターを低減でき精度がよくタイムスタンプを取得できる。 Furthermore, when a packet transmission error occurs, two or more packets are continuously transmitted immediately afterward, so the T interval contains temporally correlated noise. Therefore, this noise can be easily removed by the moving average filter 1215 . That is, rather than using the arrival time including noise and delay as it is, using the transmission interval time T packet as a reference can reduce jitter and obtain a time stamp with high precision.
 また、ストリーム上にパケットが到来するシステムにおいて、リアルタイムに補正をする必要がある場合に有用である。また、サーバ上でバッチ処理するシステムに比べて適用可能なアプリケーション範囲が広い点で有用である。 It is also useful when real-time correction is required in a system where packets arrive on the stream. In addition, it is useful in that it can be applied to a wider range of applications than a system that performs batch processing on a server.
 また、信号処理が基本的に遅延と積和演算で構成されるため、DSP(デジタルシグナルプロセッサ)によるアクセラレーション処理を適用できので、リアルタイムデータ処理に適している。 In addition, since signal processing basically consists of delay and sum-of-product operations, acceleration processing by a DSP (digital signal processor) can be applied, making it suitable for real-time data processing.
 また、GPS、NIP、NITZなど によって同期したクロックで補正が実行されるので、高精度で補正できる。 In addition, since correction is performed with clocks synchronized by GPS, NIP, NITZ, etc., correction can be performed with high accuracy.
<第2の実施の形態>
 本発明の第2の実施の形態に係るタイムスタンプ補正システム、センサシステムおよびタイムスタンプ補正方法について、図9、図10を参照して説明する。
<Second Embodiment>
A timestamp correction system, a sensor system, and a timestamp correction method according to a second embodiment of the present invention will be described with reference to FIGS. 9 and 10. FIG.
<タイムスタンプ補正システムの構成と動作>
 本実施の形態に係るセンサシステム20は、第1の実施の形態と略同様の構成を有し、タイムスタンプ補正システム221の構成が異なる。
<Configuration and Operation of Timestamp Correction System>
A sensor system 20 according to the present embodiment has substantially the same configuration as that of the first embodiment, except for the configuration of a time stamp correction system 221 .
 図9に、本実施の形態に係るタイムスタンプ補正システム221の構成を示す。また、図10に、本実施の形態に係るタイムスタンプ補正方法のフローチャート図を示す。 FIG. 9 shows the configuration of the time stamp correction system 221 according to this embodiment. Further, FIG. 10 shows a flowchart of the time stamp correction method according to this embodiment.
 タイムスタンプ補正システム221は、図9に示すように、多段の遅延回路2211と、減算部2212と、パケット数推定部2213と、演算部2214と、移動平均フィルタ2215と、加算部2216とを備える。 As shown in FIG. 9, the time stamp correction system 221 includes a multi-stage delay circuit 2211, a subtraction section 2212, a packet number estimation section 2213, a calculation section 2214, a moving average filter 2215, and an addition section 2216. .
 タイムスタンプ補正システム221は、パケットに付与された到来時刻Tarrival(タイムスタンプTstamp)が入力される。 The time stamp correction system 221 receives the arrival time T arrival (time stamp T stamp ) given to the packet.
 遅延回路2211は、M段の遅延回路で構成され、入力されるTarrival(例えば、Tarrival[i-1])を遅延させる。ここで、Tarrivalは、Tstampと同じである。 The delay circuit 2211 is composed of M stages of delay circuits, and delays the input T arrival (for example, T arrival [i−1]). Here, T_arrival is the same as T_stamp .
 減算部2212では、M段の遅延回路の出力を用いて、到来時刻の差分すなわち到来間隔時間を算出する(ステップS21)。その結果、M個の到来間隔時間が取得される。 The subtraction unit 2212 uses the outputs of the M-stage delay circuits to calculate the difference between the arrival times, that is, the arrival interval time (step S21). As a result, M inter-arrival times are obtained.
 パケット数推定部2213は、到来間隔時間を量子化し、この量子化数の平均値を、パケット数の推定値として算出する(ステップS22~S24)。 The packet number estimation unit 2213 quantizes the arrival interval time, and calculates the average value of this quantization number as the estimated number of packets (steps S22 to S24).
 次に、演算部2214で、量子化された到来間隔時間を送信間隔時間Tpacketに乗じて、逆量子化して実数値に変換する(ステップS25)。 Next, the calculation unit 2214 multiplies the transmission interval time T packet by the quantized arrival interval time, inversely quantizes it, and converts it into a real value (step S25).
 ここで、上述の通り、到来間隔時間がM段の遅延回路によってM倍されるので、量子化された到来間隔時間にTpacket値を乗じるとともにMで除算する(ステップS26)。 Here, as described above, since the arrival interval time is multiplied by M by the M stages of delay circuits, the quantized arrival interval time is multiplied by the T packet value and divided by M (step S26).
 次に、逆量子化されMで除算された到来間隔時間を、移動平均フィルタ2215に入力して、移動平均を実行する(ステップS27)。 Next, the arrival interval times that have been inversely quantized and divided by M are input to the moving average filter 2215 to perform moving averaging (step S27).
 最後に、加算部2216で、算出された到来間隔時間の移動平均値に、オフセットである初期時刻Tを加算することにより、タイムスタンプ補正値Tcorrectを取得する(ステップS28)。 Finally, the adder 2216 adds the initial time T0 , which is an offset, to the calculated moving average value of the arrival interval time to obtain the time stamp correction value T_correct (step S28).
 ここで、第1の実施の形態と同様に、移動平均フィルタ2215の出力を到来間隔時間の量子化のステップ(ステップS22)にフィードバックして、再度移動平均値を算出してもよい(図10中、点線矢印)。 Here, as in the first embodiment, the output of the moving average filter 2215 may be fed back to the step of quantizing the arrival interval time (step S22) to calculate the moving average value again (FIG. 10). middle, dotted arrow).
 本実施の形態に係るタイムスタンプ補正システムによれば、移動平均フィルタによって、雑音を除去でき、遅延を緩和でき、タイムスタンプの誤差を低減できる。 According to the timestamp correction system according to the present embodiment, the moving average filter can remove noise, mitigate delays, and reduce timestamp errors.
 さらに、多段の遅延回路により、パケット数が量子化される前に相関性の雑音を除去できる。また、M倍されたデータを逆量子化において1/M倍にするため、逆量子化による雑音そのものを低減できる。 In addition, multi-stage delay circuits can remove correlated noise before the number of packets is quantized. In addition, since the data multiplied by M is multiplied by 1/M in inverse quantization, the noise itself due to inverse quantization can be reduced.
 また、タイムスタンプ補正システムでは、パケット数を推定する過程でM段の遅延を必要とするため、遅延回路の段数(M段)の増加に伴い雑音は低減される反面、リアルタイム性が減少する。そこで、アプリケーションによって遅延回路の段数(M段)を調整する必要がある。ただし、追跡するTpacketの変動が分単位であるので、10秒程度の遅延であればリアルタイム性に影響を与えないと考えられる。 In addition, since the time stamp correction system requires M stages of delay in the process of estimating the number of packets, noise is reduced as the number of stages (M stages) of the delay circuit increases, but the real-time performance is reduced. Therefore, it is necessary to adjust the number of stages (M stages) of the delay circuit depending on the application. However, since the T packet to be tracked fluctuates on a minute-by-minute basis, a delay of about 10 seconds is considered to have no effect on real-time performance.
<第3の実施の形態>
 本発明の第3の実施の形態に係るタイムスタンプ補正システムおよびセンサシステムを、図11を参照して説明する。
<Third Embodiment>
A timestamp correction system and sensor system according to a third embodiment of the present invention will be described with reference to FIG.
<センサシステムの構成>
 本実施の形態に係るセンサシステム30は、図11に示すように、センサ31_1~31_Mと、スマートフォンなどの携帯情報端末32_1~32_Mとを備え、携帯情報端末32_1~32_Mがそれぞれ、第1の実施の形態に係るタイムスタンプ補正システムとタイムスタンプ付与部とを備える。ここで、第2の実施の形態に係るタイムスタンプ補正システムを備えてもよい。
<Configuration of sensor system>
As shown in FIG. 11, the sensor system 30 according to the present embodiment includes sensors 31_1 to 31_M and mobile information terminals 32_1 to 32_M such as smartphones. A time stamp correction system according to the form of and a time stamp applying unit. Here, a time stamp correction system according to the second embodiment may be provided.
 センサシステム30では、センサ31_1~31_Mで取得したデータが、携帯情報端末32_1~32_Mで収集される。収集されたデータは、携帯情報端末32_1~32_Mで、タイムスタンプが付与され、このタイムスタンプが補正され、ネットワークシステム4に送信され、クラウドなどの形態で扱われる。 In the sensor system 30, data acquired by the sensors 31_1 to 31_M are collected by the mobile information terminals 32_1 to 32_M. The collected data is given a time stamp in the portable information terminals 32_1 to 32_M, the time stamp is corrected, transmitted to the network system 4, and handled in a form such as a cloud.
 本実施の形態に係るセンサシステムによれば、タイムスタンプ補正システムによって、雑音を除去でき、遅延を緩和でき、タイムスタンプの誤差を低減できる。また、GPS、NIP、NITZなどによって同期したクロックで補正が実行されるので、高精度で補正できる。 According to the sensor system according to the present embodiment, the time stamp correction system can remove noise, mitigate delays, and reduce time stamp errors. In addition, since the correction is performed with a clock synchronized by GPS, NIP, NITZ, etc., the correction can be performed with high accuracy.
 さらに、例えば、スマートフォンの代表的なOSであるAndroidやiOSでは、タイムスタンプの分解能が1msに制限されているため、到達可能なジッター値が制限される場合がある。本実施の形態に係るセンサシステムによれば、精度が任意の時間間隔における到来パケット数に問題が帰着され、タイムスタンプの精度そのものは問題とならない。したがって、スマートフォンのOS上でソフトウェア処理する場合において、本実施の形態に係るセンサシステムは有効である。 Furthermore, for example, in Android and iOS, which are typical OSs for smartphones, the resolution of timestamps is limited to 1 ms, so the achievable jitter value may be limited. According to the sensor system according to the present embodiment, the problem is reduced to the number of packets arriving at an arbitrary time interval, and the precision of the time stamp itself is not a problem. Therefore, the sensor system according to the present embodiment is effective when performing software processing on the OS of the smartphone.
 また、本実施の形態に係るセンサシステムにおいて、1台のスマートフォンが複数のセンサに接続して、タイムスタンプを付与する構成としてもよい。この構成では、遅延の影響が大きく、他のアプリケーションへの影響も大きい。そこで、1台のスマートフォンに複数のセンサを接続する構成より、1台のスマートフォンに1台のセンサを接続する構成の方が望ましい。 Further, in the sensor system according to the present embodiment, one smartphone may be configured to connect to multiple sensors and provide time stamps. In this configuration, the effect of delay is large, and the effect on other applications is also large. Therefore, a configuration in which a single smartphone is connected to a single sensor is more desirable than a configuration in which a plurality of sensors are connected to a single smartphone.
<第4の実施の形態>
 本発明の第4の実施の形態に係るタイムスタンプ補正システムおよびセンサシステムを、図12を参照して説明する。
<Fourth Embodiment>
A timestamp correction system and sensor system according to a fourth embodiment of the present invention will now be described with reference to FIG.
<センサシステムの構成>
 本実施の形態に係るセンサシステム40は、図12に示すように、センサ41_1~41_Mと、データ収集端末42_1~42_Nと、サーバ43とを備える。ここで、データ収集端末42_1~42_Nがタイムスタンプ付与部を備え、サーバ43が第1の実施の形態に係るタイムスタンプ補正システムを備える。ここで、第2の実施の形態に係るタイムスタンプ補正システムを備えてもよい。
<Configuration of sensor system>
A sensor system 40 according to the present embodiment includes sensors 41_1 to 41_M, data collection terminals 42_1 to 42_N, and a server 43, as shown in FIG. Here, the data collection terminals 42_1 to 42_N are provided with time stamping units, and the server 43 is provided with the time stamp correction system according to the first embodiment. Here, a time stamp correction system according to the second embodiment may be provided.
 センサシステム40では、センサ41_1~42_Mで取得したデータが、データ収集端末42_1~42_Nで収集され、タイムスタンプが付与される。タイムスタンプが付与されたデータは、サーバ43に送信され、サーバ43でタイムスタンプが補正され、ネットワークシステム4に送信され、クラウドなどの形態で扱われる。 In the sensor system 40, the data acquired by the sensors 41_1 to 42_M are collected by the data collection terminals 42_1 to 42_N and time stamped. The time-stamped data is transmitted to the server 43, the time stamp is corrected by the server 43, transmitted to the network system 4, and handled in a form such as a cloud.
 このように、センサシステム40は、データ収集端末42_1~42_Nはタイムスタンプの付与のみを実行し、サーバ43でタイムスタンプを補正する構成である。 In this way, the sensor system 40 is configured such that the data collection terminals 42_1 to 42_N only apply time stamps, and the server 43 corrects the time stamps.
 本実施の形態に係るセンサシステムによれば、タイムスタンプ補正システムによって、雑音を除去でき、遅延を緩和でき、タイムスタンプの誤差を低減できる。さらに、データ収集端末はタイムスタンプの付与のみにリソースを割くことが可能となるため、データ収集端末に複数のセンサが接続される環境下で、演算によるタイムスタンプ精度の劣化を防止できる。 According to the sensor system according to the present embodiment, the time stamp correction system can remove noise, mitigate delays, and reduce time stamp errors. Furthermore, since the data collection terminal can allocate resources only to giving time stamps, it is possible to prevent degradation of time stamp accuracy due to calculation in an environment where a plurality of sensors are connected to the data collection terminal.
 また、通常のセンサネットワークでは、上位の(ネットワークシステムに近い)サーバほど演算能力が高く、下位の(ネットワークシステムに遠い)センサほど演算能力が低いため、演算能力が高いサーバでタイムスタンプを補正すれば、リソースを集中できる点で有用である。 In a normal sensor network, higher servers (closer to the network system) have higher computing power, and lower sensors (farther from the network system) have lower computing power. is useful in terms of resource concentration.
 とくに、第2の実施の形態に係るセンサシステムでは、複数のセンサが接続したときにパケット送信が失敗することが増えるが、パケット送信の失敗後に再度タイムスタンプを補正して送信できるので、雑音が相関的になり精度を維持できる。 In particular, in the sensor system according to the second embodiment, when a plurality of sensors are connected, packet transmission fails more frequently. It becomes correlative and can maintain accuracy.
 本発明の実施の形態では、タイムスタンプ補正システムおよびセンサシステムの構成、タイムスタンプ補正方法などにおいて、各構成部の構造、寸法等の一例を示したが、これに限らない。タイムスタンプ補正システムおよびセンサシステムの構成、タイムスタンプ補正方法の機能を発揮し効果を奏するものであればよい。 In the embodiment of the present invention, an example of the structure, dimensions, etc. of each constituent part has been shown in the configurations of the time stamp correction system and the sensor system, the time stamp correction method, etc., but the present invention is not limited to this. Any configuration of the time stamp correction system and the sensor system, as long as the function of the time stamp correction method is exhibited and the effect is produced.
 本発明は、タイムスタンプの補正システム、センサシステムおよびタイムスタンプ補正方法に関し、センサで取得されるデータを送受信するシステムや通信システムに適用することができる。 The present invention relates to a time stamp correction system, a sensor system, and a time stamp correction method, and can be applied to systems and communication systems that transmit and receive data acquired by sensors.
121 タイムスタンプ補正システム
1211 遅延回路
1212 減算部
1213 パケット数推定部
1214 演算部
1215 移動平均フィルタ
1216 加算部
121 time stamp correction system 1211 delay circuit 1212 subtraction unit 1213 packet number estimation unit 1214 calculation unit 1215 moving average filter 1216 addition unit

Claims (7)

  1.  所定の送信間隔時間で送信された複数のパケットが受信されるときに、前記複数のパケットそれぞれに付与されるタイムスタンプを補正するタイムスタンプ補正システムであって、
     前記複数のパケットのうち、一のパケットのタイムスタンプを遅延する遅延回路と、
     前記一のパケットに引き続き受信される他のパケットのタイムスタンプと、前記遅延された前記一のパケットのタイムスタンプとの差を、到来間隔時間として算出する減算部と、
     前記到来間隔時間を量子化し、当該量子化数の平均値を、前記パケットの数の推定値として算出するパケット数推定部と、
     前記パケットの数の推定値を、前記送信間隔時間に乗じて、逆量子化された到来間隔時間を算出する演算部と、
     前記逆量子化された到来間隔時間について移動平均を実行する移動平均フィルタと、
     前記移動平均で得られた値に初期時刻を加算する加算部と
     を備えるタイムスタンプ補正システム。
    A time stamp correction system for correcting a time stamp given to each of a plurality of packets when a plurality of packets transmitted at a predetermined transmission interval time are received,
    a delay circuit for delaying the timestamp of one of the plurality of packets;
    a subtraction unit that calculates, as an arrival interval time, the difference between the time stamp of another packet received following the one packet and the time stamp of the delayed one packet;
    a packet number estimation unit that quantizes the arrival interval time and calculates an average value of the quantized number as an estimated value of the number of packets;
    an arithmetic unit that calculates an inversely quantized arrival interval time by multiplying the transmission interval time by the estimated value of the number of packets;
    a moving average filter that performs a moving average on the dequantized inter-arrival times;
    and an addition unit that adds an initial time to the value obtained by the moving average.
  2.  前記パケットが、センサが取得する信号と、タイムスタンプを有する信号とを含み、
     前記移動平均フィルタが、前記センサが取得する信号を遮断し、前記タイムスタンプを有する信号を透過する
     ことを特徴とする請求項1に記載のタイムスタンプ補正システム。
    the packet includes a signal acquired by a sensor and a signal with a time stamp;
    2. The time stamp correction system of claim 1, wherein the moving average filter blocks signals acquired by the sensor and transmits signals bearing the time stamp.
  3.  前記遅延回路が多段である
     ことを特徴とする請求項1又は請求項2に記載のタイムスタンプ補正システム。
    3. The time stamp correction system according to claim 1, wherein the delay circuit has multiple stages.
  4.  計測信号から生成するパケットを送信間隔時間で送信するセンサと、
     前記パケットを受信して、タイムスタンプを付与するタイムスタンプ付与部と、
     請求項1から請求項3のいずれか一項に記載のタイムスタンプ補正システムと
     を備えるセンサシステム。
    a sensor that transmits a packet generated from a measurement signal at a transmission interval time;
    a time stamping unit that receives the packet and adds a time stamp;
    A sensor system comprising: a timestamp correction system according to any one of claims 1-3.
  5.  前記センサと、
     前記タイムスタンプ付与部と、前記タイムスタンプ補正システムとを備え、前記補正されたタイムスタンプをネットワークに送信する携帯情報端末と
     を備える請求項4に記載のセンサシステム。
    the sensor;
    5. The sensor system according to claim 4, further comprising: a portable information terminal that includes the time stamping unit and the time stamp correction system, and that transmits the corrected time stamp to a network.
  6.  前記センサと、
     前記タイムスタンプ付与部を備えるデータ収集端末と、
     前記タイムスタンプ補正システムを備え、前記補正されたタイムスタンプをネットワークに送信するサーバと
     を備える請求項4に記載のセンサシステム。
    the sensor;
    a data collection terminal comprising the time stamping unit;
    5. The sensor system of claim 4, comprising: a server comprising the timestamp correction system and transmitting the corrected timestamp to a network.
  7.  所定の送信間隔時間で送信された複数のパケットが受信されるときに、前記パケットに付与されるタイムスタンプを補正する方法であって、
     減算部が、前記タイムスタンプの差分を、到来間隔時間として算出するステップと、
     パケット数推定部が、前記到来間隔時間を量子化するステップと、
     前記パケット数推定部が、前記量子化された到来間隔時間の量子化数の平均値を、前記パケットの数の推定値として算出するステップと、
     演算部が、前記パケットの数の推定値を、前記送信間隔時間に乗じて、逆量子化された到来間隔時間をステップと、
     移動平均フィルタが、前記逆量子化された到来間隔時間について、移動平均を実行するステップと、
     加算部が、前記移動平均で得られた値に、初期時刻を加算するステップと
     を備えるタイムスタンプ補正方法。
    A method for correcting timestamps given to packets when a plurality of packets transmitted at a predetermined transmission interval time are received, comprising:
    a subtraction unit calculating the difference between the timestamps as an arrival interval time;
    a packet number estimating unit quantizing the arrival interval time;
    a step in which the packet number estimating unit calculates an average value of the quantization number of the quantized arrival interval times as an estimated value of the number of packets;
    a step in which the calculating unit multiplies the transmission interval time by the estimated value of the number of packets to obtain an inversely quantized arrival interval time;
    a moving average filter performing a moving average on the dequantized inter-arrival times;
    A time stamp correction method comprising: adding an initial time to the value obtained by the moving average.
PCT/JP2021/045305 2021-12-09 2021-12-09 Timestamp correcting system, sensor system, and timestamp correcting method WO2023105705A1 (en)

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