WO2013140909A1 - Procédé, programme et dispositif de recherche de signal, récepteur de signal gnss (système de navigation global par satellite), et terminal d'information - Google Patents

Procédé, programme et dispositif de recherche de signal, récepteur de signal gnss (système de navigation global par satellite), et terminal d'information Download PDF

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WO2013140909A1
WO2013140909A1 PCT/JP2013/053888 JP2013053888W WO2013140909A1 WO 2013140909 A1 WO2013140909 A1 WO 2013140909A1 JP 2013053888 W JP2013053888 W JP 2013053888W WO 2013140909 A1 WO2013140909 A1 WO 2013140909A1
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frequency
signal
search
integration time
target
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PCT/JP2013/053888
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English (en)
Japanese (ja)
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明弘 大杉
盾 王
一登 多田
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古野電気株式会社
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    • 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
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13—Receivers
    • G01S19/24—Acquisition or tracking or demodulation of signals transmitted by the system
    • G01S19/29—Acquisition or tracking or demodulation of signals transmitted by the system carrier including Doppler, related

Definitions

  • the present invention relates to a signal search method for searching for a desired signal from a received signal, and more particularly to a method for searching for a GPS signal in GNSS.
  • GPS Global Positioning System
  • GNSS Global Navigation Satellite System
  • GPS GPS signals transmitted from a plurality of GPS satellites are received, and the receiver performs positioning using the code phase and carrier phase of the received GPS signals.
  • a different spreading code is set for each GPS satellite, and each GPS signal is code-modulated with a different spreading code.
  • a GPS signal from a GPS satellite different from the target GPS satellite may be erroneously captured as the target GPS signal and tracking processing may be performed.
  • Such a phenomenon is called cross-correlation.
  • Patent Document 1 uses the following method. First, a strong signal is detected from the result of calculating the integrated correlation value at a predetermined frequency interval and at a fixed integration time. Cross-correlation is detected by utilizing the fact that the difference between the frequency of the detected strong signal and the frequency to be captured has a predetermined relationship with the signal level. If the detected strong signal is determined to be cross-correlation, the signal search is continued.
  • the integration time for each code phase and frequency is constant until the search range, that is, the entire code phase range and frequency range for performing signal search can be searched. Then, after completing the entire search at least once (in some cases, a plurality of times), if the target signal cannot be detected, the signal search is executed by extending the integration time.
  • the integration time is set longer than the integration time for strong signal detection.
  • the integrated correlation value is calculated with the same integration time over the entire search range as described above, for example, even if the integration time is set short, a weak signal or the like cannot be detected. The entire range must be searched repeatedly, resulting in a longer integration time. On the other hand, if the integration time is set longer, the integration time at each integration correlation value calculation point in the two-dimensional range of code phase and frequency becomes longer, and the search time for the entire search range becomes longer.
  • an object of the present invention is to provide a signal search method capable of capturing a target signal more accurately by reducing the possibility of erroneous detection due to cross-correlation in a shorter search time than the conventional method.
  • the present invention is a signal search method for capturing a target signal, and includes an integration time determination step, a correlation value calculation step, and an integration correlation value calculation step.
  • the integration time determination step the integration time at the search target frequency is set according to the frequency difference between the frequency of the signal being tracked and the search target frequency.
  • the correlation value calculating step calculates a correlation value between the replica signal of the target signal and the received signal.
  • the integrated correlation value calculating step the integrated correlation value is calculated by integrating the correlation value with the integrated time set in the integrated time determining step.
  • the integration time of the correlation value at the frequency currently being searched is determined by the difference between the frequency of the signal being tracked and the frequency currently being searched. That is, the integration time can be changed by the difference between the frequency of the signal being tracked and the frequency currently being searched. Thereby, the influence on the integrated correlation value by the signal being tracked can be reduced. Furthermore, by setting the integration time appropriately, it is possible to shorten the total integration time over the entire frequency band, compared to simply making the integration time constant.
  • the integration time determining step of the signal search method of the present invention includes a frequency interval determining step, a segment determining step, and a determining step.
  • the frequency section determining step a plurality of frequency sections to which the search target frequency can selectively correspond are determined based on the difference from the search target frequency based on the frequency of the signal being tracked.
  • the classification determination step it is determined to which of a plurality of frequency sections the frequency to be searched belongs.
  • the integration time is set for each frequency section.
  • the search target frequency is divided into a plurality of frequency sections, and the integration time is determined for each frequency section.
  • the integration time determination process can be simplified and shortened without significantly reducing the signal search performance.
  • the frequency interval determination step of the signal search method of the present invention includes a step of setting a plurality of frequency intervals based on the repetition interval of the frequency that becomes the correlation peak that appears when the integrated correlation value is calculated by the signal being tracked.
  • the classification determination step includes a step of calculating a frequency difference value between the frequency to be searched and the frequency of the signal being tracked, and a step of determining in which range of the plurality of frequency sections the frequency difference value is. Have.
  • This method specifically shows a search method in the case where the frequency of the correlation peak that appears when the integrated correlation value is calculated by the signal being tracked is repeated at predetermined intervals, that is, when cross-correlation occurs.
  • the change in the correlation value between the frequencies of the correlation peaks is the same, if a frequency section between the frequencies of one set of correlation peaks is set, the correlation between the frequencies of other correlation peaks is also
  • the present invention can be similarly applied, and the setting of the frequency section for the entire frequency band can be simplified and shortened without degrading the signal search performance.
  • the possibility of the presence or absence of a search target signal in each frequency section can be understood to some extent from the preliminary search result. Accordingly, it is possible to optimize the integration time based on the use of the preliminary search result, that is, based on the possibility of presence or absence of a search target signal.
  • the step of detecting the signal strength of the preliminary detection signal and the number of signal strengths of the preliminary detection signal belonging to each of a plurality of preset signal strength categories are detected. And a step of further correcting the integration time in accordance with the distribution of the number of preliminary detection signals belonging to each signal intensity category.
  • the integration time can be further optimized by using the signal intensity of the preliminary detection signal detected from the preliminary search result.
  • the signal search method of the present invention includes a step of setting a plurality of search target frequencies at the same interval as the repetition interval. Then, the correlation value calculating step is executed in parallel at a plurality of search target frequencies.
  • a plurality of search target frequencies are regarded as one group, and an integrated correlation value can be calculated simultaneously for each search target frequency in the group.
  • the signal search process can be further shortened.
  • the target signal is a GPS signal broadcast for each GPS satellite.
  • This method specifically indicates that the target signal (search target signal) is a GPS signal. That is, it shows that the influence of cross-correlation in capturing the GPS signal is reduced, and the GPS signal is captured more reliably.
  • the target GPS signal can be captured in a shorter search time than the conventional method, and the target signal can be accurately captured with almost no erroneous detection due to cross-correlation.
  • FIG. 3 is a flowchart of a signal search method according to an embodiment of the present invention. It is a figure which shows the correlation characteristic of the cross correlation by the change of integration time. It is a figure for demonstrating the setting concept of a frequency area. It is a figure which shows an example of the map for integration time setting. It is a flowchart of the formation process of the lamination time change map. It is a figure for demonstrating the code phase and frequency setting concept for performing the correlation processing method in the search process of this embodiment. It is a flowchart which shows the determination process of a frequency area, and the setting process of integration time. It is a figure for demonstrating the determination concept of a frequency area, and the setting concept of integration time.
  • FIG. 1 It is a figure for demonstrating the setting concept of a signal strength division. It is a figure which shows an example of the map for integration time setting also including a signal strength division. It is a block diagram which shows the structure of the GPS signal receiver 1 which concerns on embodiment of this invention. It is a block diagram which shows the structure of the information equipment terminal 100 provided with the GPS signal receiver 1. FIG.
  • a signal search method will be described with reference to the drawings.
  • a method for searching for a GPS signal transmitted from a GPS satellite will be described.
  • a case will be described where there is one tracking GPS signal at the start of the signal search shown in this embodiment.
  • FIG. 1 is a flowchart of the signal search method of this embodiment.
  • the signal search method of this embodiment first obtains the frequency F B of the GPS signal in the tracking (S101).
  • the GPS signal being tracked is a signal that can cause cross-correlation at the time of signal search shown in the present embodiment.
  • FIG. 2 is a diagram illustrating a correlation characteristic of cross correlation due to a change in integration time.
  • the accumulated time for obtaining the characteristics shown in FIGS. 2C and 2D is longer than the accumulated time for obtaining the characteristics shown in FIGS. 2A and 2B (about twice).
  • the integration time for obtaining the characteristics shown in (F) is longer (further about twice) than the integration time for obtaining the characteristics shown in FIGS. 2B is an enlarged view in the frequency direction of FIG. 2A
  • FIG. 2D is an enlarged view in the frequency direction of FIG. 2C
  • FIG. 2F is an enlarged view of FIG. FIG.
  • the peak frequency at which the integrated correlation value becomes maximum appears at intervals of 1000 Hz, and the integrated correlation value decreases as the distance from the peak frequency increases. Then, the integrated correlation value is minimized at a frequency 500 Hz away from the peak frequency, in other words, at an intermediate frequency between adjacent peak frequencies.
  • the cross correlation correlation characteristics are the same on the high frequency side and the low frequency side with reference to the peak frequency. In other words, the correlation characteristics of cross correlation are the same characteristics on the high frequency side and the low frequency side with respect to the frequency at which the integrated correlation value is minimized.
  • FIG. 3 is a diagram for explaining the concept of setting frequency intervals.
  • the frequency of the GPS signal being tracked (the signal causing the cross correlation) is set as a reference frequency (0 Hz), and is separated from the reference frequency by 500 Hz.
  • the frequency range is set by being divided into a first frequency interval ARc, a second frequency interval ARn, and a third frequency interval ARf.
  • the first frequency section ARc is conceptually a frequency section that is most susceptible to cross-correlation and is very close to the cross-correlation frequency.
  • the first frequency section ARc is set in the frequency band from the reference frequency to the first threshold frequency Fc.
  • the second frequency section ARn conceptually has a certain degree of possibility of being affected by cross-correlation, and is a frequency section that is separated from the close proximity section to the cross-correlation frequency but is close to a certain degree.
  • the second frequency interval ARn is set in a frequency band from the first threshold frequency Fc to the second threshold frequency Fn ( ⁇ Fc).
  • the third frequency section ARf is conceptually a frequency section that is hardly affected by the cross-correlation and is separated from the cross-correlation frequency.
  • the third frequency section ARf is set in a frequency band from the second threshold frequency Fn to 500 Hz.
  • the first threshold frequency Fc and the second threshold frequency Fn are set as appropriate based on the integration time.
  • the first threshold frequency Fc is set so that the frequency band substantially corresponding to the main lobe of cross correlation becomes the first frequency section ARc.
  • the second threshold frequency Fn is set so that the frequency band substantially corresponding to the side lobe adjacent to the main lobe becomes the second frequency section ARn.
  • the first threshold frequency Fc and the second threshold frequency Fn are changed according to the change of the correlation characteristics. Just do it. For example, as the integration time becomes longer, the width of the main lobe and the side lobe becomes narrower, so the first threshold frequency Fc and the second threshold frequency Fn may be set to smaller values.
  • FIG. 4 is a diagram showing an example of the integrated time setting map.
  • FIG. 5 is a flowchart of the process for forming the stacking time changing map.
  • the frequency difference value Df (F) of the preliminary detection signal is obtained from the following equation.
  • Df (F) (ABS (F ⁇ F B )) / 1000 [Hz]
  • ABS () is a symbol representing absolute value calculation.
  • the normalized frequency difference value ⁇ f (F) of the preliminary detection signal is obtained from the following equation.
  • the normalized frequency difference value ⁇ f (F) of each preliminary detection signal calculated in this way is compared with the first threshold frequency Fc and the second threshold frequency Fn (S302).
  • the preliminary detection signal is determined to be within the first frequency interval ARc (S305), and the first frequency The number of preliminary detection signals in the section ARc is incremented by 1 (S306).
  • the preliminary detection signal is the second threshold frequency Fn. It is determined that it is within the frequency interval ARn (S307), and the number of preliminary detection signals in the second frequency interval ARn is incremented by 1 (S308).
  • the preliminary detection signal is the third threshold frequency Fn. It is determined that it is within the frequency interval ARf (S309), and the number of preliminary detection signals in the third frequency interval ARf is counted by +1 (S310).
  • Step S302 Processing for determining which frequency section the preliminary detection signal corresponds to is performed for all the preliminary detection signals (S311: Yes), and when there is a preliminary detection signal for which the determination processing is not performed ( S311: No), the above-described processing from step S302 is repeated until determination processing for all the preliminary detection signals is completed.
  • a map (see FIG. 4) of the number of preliminary detection signals existing for each of the first frequency section ARc, the second frequency section ARn, and the third frequency section ARf is formed.
  • the integration time Tc of the first frequency interval ARc, the integration time Tn of the second frequency interval ARn, and the integration time Tf of the third frequency interval ARf are set.
  • the integration time Tc of the first frequency interval ARc and the integration time Tn of the second frequency interval ARn is set so as to satisfy the relationship of Tc> Tn> Tf.
  • the integration time is set longer for frequency sections that are more susceptible to cross-correlation.
  • the peak of the correlation characteristic due to cross-correlation becomes steeper as the integration time becomes longer. For this reason, the longer the integration time, the higher the resolution of signal detection on the frequency axis.
  • each frequency section Accordingly, the influence of cross-correlation is appropriately reduced, and the target GPS signal can be detected and captured more accurately.
  • FIG. 6 is a diagram for explaining the concept of setting the code phase and frequency for performing the correlation processing method in the search processing of this embodiment.
  • the correlation process is simultaneously performed at 2046 points having an interval of 0.5 [chip] with respect to the C / A code of 1023 [chip].
  • Run to calculate the integrated correlation value That is, when the search frequency F sig is set, the integrated correlation value is calculated in parallel at 2046 points at the search frequency F sig .
  • the preceding code phase range can be correlated simultaneously.
  • the search frequency is calculated by calculating the integrated correlation value by executing the correlation process in parallel with 8 points set at 1000 Hz intervals as one group.
  • search frequencies F sig 011, F sig 012, F sig 013, F sig 014, F sig 015, F sig 016, F sig 017, F sig are shown in FIG.
  • group Gr1 of 018 correlation processing is executed simultaneously.
  • the correlation processing is simultaneously performed at 8 points.
  • the correlation processing is simultaneously executed at 8 points.
  • Such correlation processing is sequentially executed from the group Gr1 to the group Gr19, thereby obtaining an integrated correlation value for one channel covering the entire search frequency.
  • the correlation processing from the group Gr1 is sequentially executed again.
  • the correlation process for one channel (calculation of the laminated correlation value) can be shortened as compared with the sequential execution individually.
  • the search frequencies F sig included in the same group Gr correspond to the same frequency section. Therefore, it is not necessary to individually perform a process of determining a frequency section (a process of determining the integration time) for all search frequencies included in the group Gr, and it is sufficient to perform the process with one representative search frequency F sig .
  • the determination of the frequency interval is performed for all of the search frequencies F sig 011, F sig 012, F sig 013, F sig 014, F sig 015, F sig 016, F sig 017, and F sig 018.
  • the frequency interval is determined by the search frequency F sig 011 to determine the integration time, and the other search frequencies F sig 012, F sig 013, F sig 014, F sig 015, F sig 016, F sig 016
  • a frequency interval (integrated time) of the search frequency F sig 011 may be applied to 017, F sig 018.
  • FIG. 7 is a flowchart showing a frequency interval determination process and an integration time setting process.
  • the frequency difference value Df is obtained from the following equation.
  • Df (ABS (F sig ⁇ F B )) / 1000 [Hz]
  • the frequency difference value is normalized so as to be a value between 0 Hz and 500 Hz, and a normalized frequency difference value ⁇ f sig is calculated.
  • the standardized frequency difference value ⁇ f sig for the search frequency F sig calculated in this way is compared with the first threshold frequency Fc described above (S402).
  • the search frequency F sig is determined to be within the first frequency interval ARc, and the integration time Tc is adopted for the search frequency F sig . (S404).
  • the normalized frequency difference value ⁇ f sig is equal to or higher than the first threshold frequency Fc (S402: No)
  • the normalized frequency difference value ⁇ f sig with respect to the search frequency F sig is compared with the above-described second threshold frequency Fn (S403). ).
  • the search frequency F sig is determined to be within the second frequency interval ARn, and the integration time Tn is adopted for the search frequency F sig . (S405).
  • the search frequency F sig is determined to be within the third frequency interval ARf, and the integration time Tf is adopted for the search frequency F sig . (S406).
  • F sig 051, F sig 061, F sig 071, F sig 081, F sig 091, F sig 101, F sig 111, F sig 121, F sig 131, F sig 141, F sig 151, F sig 161, F sig 171, F sig 181 and F sig 191 are set as shown in FIG. 8.
  • FIG. 8 is a diagram for explaining the determination concept of the frequency section and the setting concept of the integration time.
  • FIG. 8 shows an example in which the search frequency F sig 011 of each group Gr1 is farthest from the peak frequency of cross correlation .
  • the search frequencies F sig 011, F sig 021, F sig 031, F sig 041, F sig 051, and F sig 061 correspond to the third frequency interval ARf.
  • the search frequencies F sig 071 and F sig 081 correspond to the second frequency interval ARn.
  • the search frequencies F sig 091, F sig 101, and F sig 111 correspond to the first frequency interval ARc.
  • the search frequencies F sig 121 and F sig 131 correspond to the second frequency interval ARn.
  • the search frequencies F sig 141, F sig 151, F sig 161, F sig 171, F sig 181, and F sig 191 correspond to the third frequency interval ARf.
  • the search frequencies F sig 011, F sig 021, F sig 031, F sig 041, F sig 051, F sig 061, and the search frequencies F sig 141, F sig 151, F sig 161, F sig 171, F sig 181 , F sig 191 employs the integration time Tf.
  • the integration time Tn is adopted.
  • the integration time Tc is adopted.
  • Correlation processing is performed at each search frequency according to the integration time set in this way, and an integration correlation value corresponding to the integration time is calculated.
  • the process of setting the integration time and outputting the integration correlation value is continuously executed until the entire frequency band is covered (S107: No ⁇ S105).
  • a GPS signal is captured based on the integrated correlation value in each code phase and frequency (S108).
  • a code phase and frequency whose integrated correlation value is greater than or equal to a predetermined threshold are detected, and this timing is used as a GPS signal capture timing.
  • the threshold value may be corrected for each frequency section. Further, the integrated correlation value may be corrected for each frequency section.
  • the integration times Tn and Tf of the second and third frequency sections ARn and ARf that are not easily affected by cross-correlation are made shorter than the integration time Tc of the first frequency section that is easily affected by cross-correlation.
  • the signal search time for one channel can be shortened compared with the case where the integration time Tc of the first frequency section that is easily affected by cross-correlation is employed.
  • GPS signals can be captured in a shorter time than the conventional method without causing erroneous capture due to cross-correlation.
  • the integration times Tc, Tn, and Tf are set according to the number of counts.
  • the integration time may be lengthened. If such integration time is set, a preliminary search is not required.
  • the integration time Tn of the second frequency section ARn and the integration time Tf of the third frequency section ARf are equally shortened when there is no preliminary detection signal, Settings such as uniformly shortening each accumulated time are possible, and a more optimal accumulated time can be set according to the situation.
  • FIG. 9 is a diagram for explaining the concept of setting signal strength categories.
  • FIG. 10 is a diagram showing an example of an integration time setting map including a signal intensity category.
  • the signal intensity classification is set in three stages according to the C / No of the preliminary detection signal. Specifically, the first threshold value C / N0n is set to the first signal strength section ZONEw, the first threshold value C / N0n to the second threshold value C / N0s is set to the second signal strength section ZONEw, The threshold value C / N0s or more is set in the third signal strength category ZONEs.
  • an integrated time setting map as shown in FIG. 10 can be formed together with the determination result of the frequency section described above.
  • the accumulated time of each frequency section is set with reference to the distribution of the number of preliminary detection signals corresponding to each signal intensity category. For example, as shown in FIG. 10, if it is determined that a preliminary detection signal having a high C / N0 exists in the first frequency interval ARc, the preliminary detection signal is a GPS signal being tracked that generates a peak frequency due to cross-correlation. Therefore, the accumulated time may be corrected to be longer so that it is less affected by the GPS signal being tracked.
  • FIG. 11 is a block diagram showing a configuration of the GPS signal receiving apparatus 1 according to the embodiment of the present invention.
  • the GPS signal receiving device 1 includes a GPS receiving antenna 10, an RF processing unit 20, a baseband processing unit 30, and a positioning calculation unit 40.
  • the GPS receiving antenna 10 receives a GPS signal broadcast (transmitted) from each GPS satellite and outputs it to the RF processing unit 20.
  • the RF processing unit 20 down-converts the received GPS signal, generates an intermediate frequency signal (IF signal), and outputs it to the baseband processing unit 30.
  • the baseband processing unit 30 corresponds to a “signal search device” including the “integrated time determining unit” and the “correlation value calculating unit” of the present invention.
  • the baseband processing unit 30 also corresponds to the “capture tracking unit” of the present invention.
  • the baseband processing unit 30 may individually implement hardware corresponding to the “integration time determination unit” and hardware corresponding to the “correlation value calculation unit” and the “capture tracking unit”. You may implement
  • the baseband processing unit 30 generates a baseband signal by multiplying the IF signal by the carrier frequency signal, and performs a GPS signal capturing process and a tracking process using the baseband signal. At this time, the signal search method described above is used for the acquisition process. Thereby, the erroneous capture of cross-correlation can be suppressed and the target GPS signal can be reliably captured.
  • the capturing process for such a captured GPS signal shifts to a tracking process.
  • the code correlation result and carrier correlation result obtained by the tracking, and the pseudo distance obtained from the code correlation result are output to the positioning calculation unit 40.
  • the positioning calculation unit 40 demodulates the navigation message based on the code correlation result, and performs positioning of the GPS signal receiving device 1 from the code correlation result, the carrier phase result, and the pseudorange.
  • the baseband processing unit 30 that executes the above-described signal search method may be realized by a hardware group that executes each process, and stores each process of the above-described signal search method in a storage medium in a programmed state. In addition, it may be realized by a mode in which the computer reads and executes the program.
  • FIG. 12 is a block diagram illustrating a main configuration of the information equipment terminal 100 including the GPS signal receiving device 1 of the present embodiment.
  • An information equipment terminal 100 as shown in FIG. 12 is, for example, a mobile phone, a car navigation device, a PND, a camera, a clock, and the like, and includes an antenna 10, an RF processing unit 20, a baseband processing unit 30, a positioning calculation unit 40, and application processing. Part 130 is provided.
  • the antenna 10, the RF processing unit 20, the baseband processing unit 30, and the positioning calculation unit 40 have the above-described configuration, and the GPS signal receiving device 1 is configured as described above.
  • the application processing unit 130 displays the own device position and the own device speed based on the positioning result output from the GPS signal receiving device 1, and executes processing for use in navigation and the like.
  • the present invention can be similarly applied to capturing other GNSS signals. Furthermore, the present invention can be similarly applied to capturing a wireless communication signal in which a peak appears in a correlation value at a predetermined frequency interval.
  • frequency section setting process an example in which three frequency sections are set is shown. However, two or more frequency sections can be set. Similarly, the signal strength section can be set to two or more signal strength sections.
  • the integration time can be corrected by setting or changing either one or both of the coherent integration time and the non-coherent integration time. Good.
  • the search target frequency F sig is divided into a plurality of frequency sections, and the integration time is set for each frequency section.
  • the search target frequency F sig and the frequency F B of the GPS signal being tracked are shown. It is also possible to set the integration time for each search target frequency F sig according to the frequency difference value. In this case, for example, the frequency F B and the frequency difference value is larger in the GPS signal in the tracking and search target frequency F sig, it may be set to be shorter integration time.
  • GPS signal receiving device 10: GPS receiving antenna
  • 20 RF processing unit
  • 30 baseband processing unit
  • 40 positioning calculation unit
  • 100 information equipment terminal
  • 130 application processing unit

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)

Abstract

L'objectif de la présente invention est de capturer avec plus de précision des signaux GPS (système de positionnement global) cibles dans un temps de recherche plus court qu'avec des procédés de l'état antérieur de la technique. Pour ce faire, la fréquence (FB) d'un signal GPS est acquise lors du suivi (S101). Des intervalles de fréquence pour les modifications de temps d'intégration sont établis à partir de la fréquence (FB) (S102). Les résultats de détection pour les signaux détectés lors d'une recherche préliminaire sont utilisés pour déterminer le temps d'intégration de chaque intervalle de fréquence (S103, S104). Une détermination est faite pour savoir si une fréquence de recherche (Fsig) se rapporte à l'un de ces intervalles de fréquence, le temps d'intégration est déterminé pour chaque fréquence de recherche (Fsig), et une valeur de corrélation d'intégration est calculée (S105).
PCT/JP2013/053888 2012-03-22 2013-02-18 Procédé, programme et dispositif de recherche de signal, récepteur de signal gnss (système de navigation global par satellite), et terminal d'information WO2013140909A1 (fr)

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