WO2007117026A1 - appareil de détection de la vitesse de déplacement pour un terminal mobile - Google Patents

appareil de détection de la vitesse de déplacement pour un terminal mobile Download PDF

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Publication number
WO2007117026A1
WO2007117026A1 PCT/JP2007/057997 JP2007057997W WO2007117026A1 WO 2007117026 A1 WO2007117026 A1 WO 2007117026A1 JP 2007057997 W JP2007057997 W JP 2007057997W WO 2007117026 A1 WO2007117026 A1 WO 2007117026A1
Authority
WO
WIPO (PCT)
Prior art keywords
frequency
moving speed
pilot signal
maximum doppler
doppler frequency
Prior art date
Application number
PCT/JP2007/057997
Other languages
English (en)
Japanese (ja)
Inventor
Akinori Ohashi
Kazuaki Ishioka
Takuya Sakaishi
Shinsuke Uga
Hiroo Omori
Original Assignee
Mitsubishi Electric Corporation
Ntt Docomo, Inc.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mitsubishi Electric Corporation, Ntt Docomo, Inc. filed Critical Mitsubishi Electric Corporation
Priority to JP2008509913A priority Critical patent/JP4876124B2/ja
Publication of WO2007117026A1 publication Critical patent/WO2007117026A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
    • G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves
    • G01S11/10—Systems for determining distance or velocity not using reflection or reradiation using radio waves using Doppler effect
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/08—Access restriction or access information delivery, e.g. discovery data delivery
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/16—Discovering, processing access restriction or access information

Definitions

  • the present invention relates to a moving speed detection apparatus for a mobile terminal that detects the moving speed of the mobile terminal from a received signal transmitted from a base station.
  • Conventional mobile terminal moving speed detection devices include a pilot signal extraction unit that extracts a pilot signal from a received signal, a frequency analysis unit that performs a fast Fourier transform in accordance with the extracted pilot signal, and a high-speed Based on the sample data after Fourier transform, it is composed of a maximum Doppler frequency estimator that estimates the maximum Doppler frequency and a moving speed calculator that calculates the moving speed from the estimated maximum Doppler frequency and the carrier frequency. There is something to do.
  • the maximum Doppler frequency estimation unit detects the frequency at which the power value of the pilot signal is maximum on the frequency axis based on the sample data after fast Fourier transform corresponding to the pilot signal, and performs maximum Doppler frequency estimation.
  • a force that estimates frequency The differentiation circuit that performs differentiation on sample data after high-speed Fourier transform, and the minimum value detector that detects the minimum value from the output of the differentiation circuit and estimates the maximum Doppler frequency (For example, see Patent Document 1).
  • Patent Document 1 Japanese Patent Laid-Open No. 7-140232
  • a conventional mobile terminal moving speed detection apparatus is configured as described above! Therefore, the frequency analysis unit performs fast Fourier transform in accordance with the pilot signal. This is one of the means for performing frequency analysis.
  • a mobile terminal moving speed detection device it is generally desired that a mobile terminal moving speed detection device be realized with as little calculation as possible for reasons such as power consumption and circuit scale.
  • the amount of calculation increases by performing fast Fourier transform.
  • the present invention has been made to solve the above-described problems. It is an object of the present invention to obtain a moving speed detection device for a mobile terminal that detects a moving speed by performing frequency analysis with a small amount of calculation. Target.
  • a moving speed detection apparatus for a mobile terminal includes a pilot signal extraction unit that extracts a pilot signal from a reception signal transmitted from a base station, and an octave division filter bank, and the pilot signal extraction unit A frequency analysis unit that calculates a power value for each frequency band corresponding to the extracted pilot signal, and a maximum Doppler frequency estimation unit that estimates the maximum Doppler frequency based on the power value for each frequency band calculated by the frequency analysis unit. And a moving speed calculating unit that calculates a moving speed from the maximum Doppler frequency estimated by the maximum Doppler frequency estimating unit and the carrier frequency of the pilot signal extracted by the pilot signal extracting unit.
  • FIG. 1 is a block diagram showing a moving speed detection device for a mobile terminal according to Embodiment 1 of the present invention.
  • FIG. 2 is an explanatory diagram showing an example when the frequency analysis unit divides the octave into eight bands.
  • FIG. 3 is a block diagram showing a filter bank corresponding to octave division.
  • FIG. 4 is a block diagram showing a specific example of HPF and LPF.
  • FIG. 5 is a graph showing an example of frequency band selection for calculating the maximum Doppler frequency.
  • FIG. 6 is a flowchart showing processing of a maximum Doppler frequency estimation unit.
  • FIG. 7 is a block diagram showing a moving speed detection device for a mobile terminal according to Embodiment 2 of the present invention.
  • FIG. 8 is a block diagram showing a moving speed detection device for a mobile terminal according to Embodiment 3 of the present invention.
  • FIG. 9 is a block diagram showing a moving speed detection apparatus for a mobile terminal according to Embodiment 4 of the present invention.
  • FIG. 10 is a flowchart showing processing of a maximum Doppler frequency estimation unit.
  • FIG. 11 is a block diagram showing a moving speed detection device for a mobile terminal according to Embodiment 6 of the present invention.
  • FIG. 12 is a configuration diagram showing details of a filter with a clip.
  • FIG. 1 is a configuration diagram showing a moving speed detection apparatus for a mobile terminal according to Embodiment 1 of the present invention.
  • a pilot signal extraction unit 1 extracts a pilot signal from a received signal transmitted from a base station. To do.
  • the frequency analysis unit 2 divides the extracted pilot signal into a predetermined frequency band by using an octave division filter bank, and calculates a power value for each frequency band.
  • the maximum Doppler frequency estimation unit 3 estimates the maximum Doppler frequency from the calculated power value for each frequency band.
  • the moving speed calculation unit 4 calculates the moving speed based on the estimated maximum Doppler frequency and the carrier frequency of the received signal.
  • a pilot signal extraction unit 1 extracts a pilot signal from a received signal that has also been transmitted with a base station power.
  • the frequency analysis unit 2 includes a filter bank that performs octave division of a pilot signal and a power calculation unit that calculates a power value for each divided frequency band.
  • the pilot signal is divided into octaves and the power value of each frequency band is calculated.
  • Fig. 2 is an explanatory diagram showing an example of octave division into eight bands in the frequency analysis unit.
  • the frequency band divided into octaves is 3.75 (kHz). It is.
  • the speed of light c 3. OX 10 8 (mZs), the maximum Doppler frequency fd (Hz), and the carrier frequency fc (Hz).
  • the octave division filter bank in the frequency analysis unit 2 includes the next high-pass filter (H PF) 21 and the first-order low-pass filter (LPF) 22 By connecting HPFZLPF in a tree shape as shown in Fig. 3, an octave division filter bank is realized.
  • the frequency analysis unit 2 divides the pilot signal into predetermined frequency bands in the octave division filter bank, calculates the power value for each frequency band in the power calculation unit 23, and then calculates the power value for each frequency band in the regularity processing unit 24. Perform regular processing to match the bandwidth.
  • (1) to (8) shown in FIG. 3 correspond to the frequency bands (1) to (8) shown in FIG. 2, and the calculated power value for each frequency band is the maximum Doppler frequency estimation unit.
  • Fig. 4 is a block diagram showing a specific example of HPF and LPF.
  • the first-order high-pass filter (HPF) 21 and the first-order low-pass filter (L PF ) 22 is the storage element 25 provided on one path where the input is branched, the downsampler 26 provided on both paths and the rate 1Z2 of each path, and the value of the other path provided on both paths. It consists of an adder 27 that adds and subtracts the value of this path.
  • the maximum Doppler frequency estimation unit 3 estimates the power value force maximum Doppler frequency for each frequency band obtained by the frequency analysis unit 2.
  • the maximum Doppler frequency estimation unit 3 calculates a candidate maximum Doppler frequency after selecting a plurality of frequency bands, and sequentially performs a check until the calculated frequency meets a condition. In addition, when multiple frequency bands are selected, the maximum Doppler frequency can be estimated more accurately by sequentially selecting higher frequency band forces in order to suppress the influence of direct waves in the rice fading environment.
  • FIG. 5 is a graph showing an example of selection of a frequency band for calculating the maximum Doppler frequency.
  • the frequency bands (4) to (6) are selected from (1) to (8).
  • the candidate maximum Doppler frequency is obtained from the power value of each frequency band.
  • a center of gravity point is obtained by weighting the power value of each frequency band, and this center of gravity point is determined as the maximum Doppler frequency. The method of making a candidate for If the calculated frequency is not within the selected frequency band, select a different band and calculate again.
  • FIG. 6 is a flowchart showing processing of the maximum Doppler frequency estimation unit.
  • the maximum Doppler frequency estimation unit 3 performs the following processing (ST1) to (ST3).
  • the movement speed calculation unit 4 calculates the movement speed using the maximum Doppler frequency estimated by the maximum Doppler frequency estimation unit 3 and the carrier frequency of the pilot signal extracted by the pilot signal extraction unit 1.
  • the maximum Doppler frequency estimation unit 3 sequentially selects the power value of a high frequency band, thereby suppressing the influence of the direct wave in the rice fading environment and estimating the more accurate maximum Doppler frequency.
  • FIG. 7 is a block diagram showing a moving speed detection apparatus for a mobile terminal according to Embodiment 2 of the present invention.
  • a pilot signal extraction unit 1 is used in a CDMA mobile terminal by using a multipath detection function. Then, the pilot signal is extracted from the received signal for each path or each antenna, and the frequency analysis unit 2 performs the frequency band according to the pilot signal extracted by the pilot signal extraction unit 1 for each path or each antenna. The power value is calculated, and the power combiner 5 combines the calculated power values for each frequency band.
  • the number of fingers is 8 and the number of antennas is 2. The other configurations are the same as those in FIG.
  • pilot signal extraction unit 1 extracts a pilot signal from the received signal for each path and each antenna
  • frequency analysis unit 2 applies to each pilot signal extracted for each path and each antenna.
  • the power combiner 5 combines the obtained power values for each frequency band.
  • the maximum Doppler frequency estimation unit 3 estimates the maximum Doppler frequency from the power in each frequency band
  • the moving speed calculation unit 4 detects the moving speed from the estimated maximum Doppler frequency and the carrier wave frequency.
  • the pilot signal is extracted from the received signal for each path or for each antenna in the pilot signal extraction unit 1 to perform frequency analysis.
  • the power value for each frequency band corresponding to the pilot signal extracted by the pilot signal extraction unit is calculated for each path or for each antenna, and synthesized in each frequency band in power combining unit 5, The power value of each frequency band can be obtained more accurately.
  • FIG. 8 is a block diagram showing a moving speed detection device for a mobile terminal according to Embodiment 3 of the present invention.
  • the low frequency suppression processing unit 31 is a high frequency band as preprocessing.
  • the maximum frequency Doppler frequency calculation unit 32 performs the same processing as the maximum Doppler frequency estimation unit 3 in the first embodiment.
  • Other configurations are the same as those in FIG.
  • the maximum Doppler frequency estimation unit 3 includes a low frequency suppression processing unit 31 and a maximum Doppler frequency calculation unit 32.
  • the low frequency suppression processing unit 31 suppresses leakage into the high and frequency bands due to the low frequency band.
  • the leakage due to the low frequency band and the high frequency band is caused by the fact that the frequency analysis unit 2 cannot accurately divide the frequency band by using HPFZLPF. Low frequency suppression As a result, the power value for each frequency band can be accurately obtained, and the maximum Doppler frequency can be estimated appropriately.
  • the maximum Doppler frequency calculation unit 32 performs the same processing as the maximum Doppler frequency estimation unit 3 in the first embodiment.
  • the maximum Doppler frequency estimator 3 performs the low frequency suppression process on the high frequency band as a pre-processing, so that the high frequency band by the low frequency band is obtained.
  • the power value for each frequency band corresponding to the pilot signal can be obtained more accurately.
  • FIG. 9 is a configuration diagram showing a moving speed detection apparatus for a mobile terminal according to Embodiment 4 of the present invention.
  • the power value correction unit 33 uses a high frequency band as an interference component.
  • the maximum Doppler frequency calculation unit 32 performs the same processing as the maximum Doppler frequency estimation unit 3 in the first embodiment. It is.
  • Other configurations are the same as those in FIG.
  • the maximum Doppler frequency estimation unit 3 includes a power value correction unit 33 and a maximum Doppler frequency calculation unit 32.
  • the power value correcting unit 33 regards the highest frequency component as interference power and corrects power values in other frequency bands.
  • the reason why the highest frequency component is the interference power is that the frequency band divided by the frequency analysis unit 2 is wider than the expected Doppler shift, so there is almost no Doppler shift to the highest frequency band. It is because it is considered. In the example of the frequency band to be divided by the octave in Fig. 2, it is necessary to move in the range of 931.5 to 1863 (kmZh) in order to doppler shift to the highest frequency band, and the speed is detected by the mobile terminal.
  • the maximum Doppler frequency calculation unit 32 performs the same processing as the maximum Doppler frequency estimation unit 3 in the first embodiment. Is what you do.
  • the maximum Doppler frequency estimation unit 3 uses the high frequency band as an interference component, and corrects the power value in the low frequency band according to the interference component.
  • the power value of each frequency band corresponding to the pilot signal can be obtained more accurately.
  • the maximum Doppler frequency estimation unit 3 in Embodiment 5 calculates quality information of the selected frequency bands after selecting a plurality of frequency bands, and determines a threshold value for determining whether the maximum Doppler frequency can be calculated for the quality information. To do. The rest of the configuration is the same as in Figure 1.
  • FIG. 10 is a flowchart showing the processing of the maximum Doppler frequency estimation unit.
  • the maximum Doppler frequency estimation unit 3 performs the following processing (ST1) to (ST5).
  • Quality information corresponding to the selected frequency band is calculated. For example, as the quality information, the signal power to interference power ratio (SIR) of the selected frequency band, the selected band power to total power ratio, etc. are calculated.
  • SIR signal power to interference power ratio
  • the obtained quality information is compared with a preset threshold value, and if the obtained quality information is equal to or greater than the preset threshold value, the requested quality information is preset to (ST2). If it is less than the threshold, return to (ST1) and reselect a different frequency band.
  • the maximum Doppler frequency estimation unit 3 calculates the quality information of the selected frequency band, and the threshold value for determining whether or not the maximum Doppler frequency can be calculated for the quality information. By making a decision, a more accurate maximum Doppler frequency can be estimated. [0033] Embodiment 6.
  • FIG. 11 is a block diagram showing a moving speed detection device for a mobile terminal according to Embodiment 6 of the present invention.
  • the filter 6 with a clip corresponds to the moving speed calculated by the moving speed calculation unit 4. Appropriate estimation is performed sequentially. The rest of the configuration is the same as in Figure 1.
  • the clipped filter 6 operates so as to converge successively to an appropriate estimated value in which the frequency distribution force of the detection speed is also expected.
  • FIG. 12 is a block diagram showing details of the filter with clip, and is a configuration example of a filter with clip (nonlinear IIR filter) that performs such processing simply and sequentially.
  • the filter with clip 6 shown in FIG. 12 includes a maximum speed clip processing unit 61, an acceleration clip processing unit 62, a storage element 63, adders 64 and 66, and a multiplier 65.
  • the maximum speed clip processing unit 61 performs a clipping process with a predetermined value when the detected speed as an input value is equal to or higher than a predetermined value.
  • the acceleration clip processing unit 62 performs acceleration clip processing by applying the filter function f (x) to the input value X to the acceleration clip processing unit 62.
  • filter function f (X) is defined as follows.
  • the storage element 63 sequentially stores the filter output.
  • the maximum speed clip processing unit 61 a predetermined speed is detected with respect to the detection speed that is the filter input value. Clip processing is performed for speed detection results that exceed the maximum speed.
  • the adder 64 calculates the acceleration by taking the difference between the result after processing by the maximum speed clip processing unit 61 and the previous filter output result from the storage element 63.
  • the multiplier 65 multiplies the acceleration obtained by the adder 64 by a filter coefficient K.
  • the acceleration clip processing unit 62 if the calculation result force by the multiplier 65 exceeds a predetermined maximum acceleration or minimum acceleration, clipping processing is performed with each value.
  • the adder 66 adds the acceleration after processing by the acceleration clip processing unit 62 and the previous filter output value from the storage element 63, and updates the value of the storage element 63 using the result as a filter value. As a result.
  • the detection is performed.
  • the accuracy of the moving speed can be improved.
  • the moving speed detection device can perform frequency analysis with a small amount of computation by using an octave division filter bank in the frequency analysis unit, it is possible to receive the signal transmitted from the base station. It is suitable for use in a moving speed detection device of a CDMA mobile terminal that detects a moving speed from a signal.

Abstract

L'invention concerne un appareil de détection de la vitesse de déplacement pour un terminal mobile, qui est composé de : un module (1) d'extraction de signal pilote pour extraire un signal pilote du signal reçu émis par une station de base; un module (2) d'analyse de fréquence constitué d'un jeu de filtres d'octave pour calculer la valeur de l'énergie de chaque bande de fréquence en fonction du signal pilote extrait par le module (1) d'extraction de signal pilote; un module (3) d'estimation de la fréquence de Doppler maximum pour estimer la fréquence de Doppler maximum sur la base de la valeur de l'énergie de chacune des bandes de fréquence calculée par le module (2) d'analyse de fréquence; et un module (4) de calcul de la vitesse de déplacement pour calculer la vitesse de déplacement à partir de la fréquence de Doppler maximum estimée par le module (3) d'estimation de la fréquence de Doppler maximum et la fréquence de la porteuse du signal pilote extrait par le module (1) d'extraction de signal pilote. La fréquence peut être analysée avec très peu de calculs afin de détecter la vitesse de déplacement au moyen du jeu de filtres d'octave du module (2) d'analyse de fréquence. schéma: FIG. 1: AA SIGNAL REÇU 1 MODULE D'EXTRACTION DU SIGNAL PILOTE 2 MODULE D'ANALYSE DE FRÉQUENCE (JEU DE FILTRES D'OCTAVE) 3 MODULE D'ESTIMATION DE LA FRÉQUENCE DE DOPPLER MAXIMUM 4 MODULE DE CALCUL DE LA VITESSE DE DÉPLACEMENT
PCT/JP2007/057997 2006-04-11 2007-04-11 appareil de détection de la vitesse de déplacement pour un terminal mobile WO2007117026A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2008509913A JP4876124B2 (ja) 2006-04-11 2007-04-11 移動体端末の移動速度検出装置

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JP2006-108885 2006-04-11
JP2006108885 2006-04-11

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017111076A (ja) * 2015-12-18 2017-06-22 ソフトバンク株式会社 端末速度推定方法

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JPS63204179A (ja) * 1987-02-18 1988-08-23 Sumitomo Electric Ind Ltd ドツプラシフト検出方式
JPH07140232A (ja) * 1993-11-19 1995-06-02 Nippon Motorola Ltd 受信装置を搭載した移動体の移動速度検出装置
JPH08200112A (ja) * 1995-01-18 1996-08-06 Mitsubishi Motors Corp 車両の加速スリップ制御装置
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