CN113985449A

CN113985449A - Multi-threshold self-adaptive capture verification strategy method

Info

Publication number: CN113985449A
Application number: CN202111047214.0A
Authority: CN
Inventors: 不公告发明人
Original assignee: North Leike Anhui Technology Co ltd
Current assignee: North Leike Anhui Technology Co ltd
Priority date: 2021-09-07
Filing date: 2021-09-07
Publication date: 2022-01-28

Abstract

A multi-threshold self-adaptive capture verification strategy method sets a plurality of thresholds through the synergistic action of a threshold comparator array and a parameter adjuster array, judges the quality of a signal according to the size range of the power or amplitude of the current signal, and dynamically adjusts the parameters of capture verification. Therefore, the verification process is simplified, the detection times are reduced, the detection probability can be improved, and missing detection is avoided.

Description

Multi-threshold self-adaptive capture verification strategy method

Technical Field

The invention relates to a satellite signal capturing technology in a satellite navigation receiver baseband digital signal processing module, in particular to a multi-threshold self-adaptive capturing verification strategy method. Therefore, the verification process is simplified, the detection times are reduced, the detection probability can be improved, and missing detection is avoided.

Background

In the prior art, in the framework of the capturing process of the navigation receiver, the output result of the detection and verification stage includes that "output when passing" declares signal capturing is successful and capturing process is ended, "or" output when not passing "declares signal is absent and capturing process is ended after the current search unit is judged to be the last unit," input of the detection and verification stage includes selecting the first search unit after the capturing stage is started, or "select the next search unit when not passing" when the current search unit is judged to be the last unit.

In the prior art, the process of the tonic capture search detection method includes step 1, calculating a detection quantity (the detection quantity is a signal amplitude or a signal power, and is calculated according to an IQ signal, I is In-phase, Q is Quadrature, and Q is 90 degrees out of phase with I); step 2, judging whether the detection quantity V is larger than or equal to the detection quantity threshold VT, if so, entering a flow a, and if not, entering a flow b; the flow a comprises a step a3, the value of the counter K is increased by 1; step a4, judging whether K is A (A is the counter increasing the threshold value), if yes, declaring the signal capturing is successful, otherwise, continuing searching in the unit; the flow b comprises a step b3, namely subtracting 1 from the value of the counter K; and step B4, judging whether K is 0, if yes, confirming that the signal is not captured, resetting the counter K to be B (B is a reduction initial value), continuing the search of the next unit, otherwise, continuing the search of the unit. Under the condition of low carrier-to-noise ratio, particularly when the single detection probability is close to 0.5, the K value oscillates repeatedly between 1 addition and 1 subtraction, so that the detection times are large, and the calculation amount is greatly increased. Since the satellite signal acquisition search detection strategy impacts the time to first fix TTFF of the receiver over a large procedure, a better signal acquisition search detection strategy should have less linger time. The time performance of the traditional detection strategy is not ideal, the detection times are many, and the capture time is long.

In the prior art, the M search and detection method flow of N includes step 1, calculating the detection quantity (the detection quantity is signal amplitude or signal power, and is calculated according to IQ signals, I is In-phase, Q is Quadrature, and Q is 90 degrees out of phase with I); step 2, judging whether the detection quantity V is larger than or equal to the detection quantity threshold VT, if so, increasing the value of the counter J by 1 and then subtracting the value of the counter P by 1, otherwise, subtracting the value of the counter P by 1; step 3, judging whether P is 0, if not, continuing searching in the unit, and if so, entering step 4; and 4, judging whether the counter J is larger than or equal to the search success frequency threshold M, if so, declaring that the signal is successfully captured, otherwise, confirming that the signal is not captured, resetting P to N (N is a reduction initial value), resetting J to 0, and continuing the search of the next unit. M strategy for N: and (3) carrying out N times of search on one search unit, wherein P is a search frequency counter, and the value of P is added with 1 every time of carrying out search. For a single decision, if the detected quantity V exceeds the threshold, the value J of the counter is incremented by 1. And if the N searches are completed and the success times are not less than M, the acquisition is considered to be successful in the frequency interval, otherwise, the acquisition is failed. The M search detection strategy of N is a detection strategy with a fixed number of searches, and thus the detection performance is inferior to the Tong search detection strategy of the variable search time method.

Disclosure of Invention

Aiming at the defects or shortcomings in the prior art, the invention provides a multi-threshold self-adaptive capture verification strategy method, which comprises the steps of setting a plurality of thresholds through the synergistic action of a threshold comparator array and a parameter adjuster array, judging the quality of a signal according to the size range of the current signal power or amplitude, and dynamically adjusting the parameters of capture verification. Therefore, the verification process is simplified, the detection times are reduced, the detection probability can be improved, and missing detection is avoided.

The technical solution of the invention is as follows:

a multi-threshold self-adaptive capture verification strategy method is characterized by comprising the following execution main bodies which are sequentially connected to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the detection quantity calculation module calculates the quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or the power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; the threshold comparator array selects a range of the quantity to be detected matched with a set threshold of a certain threshold comparator according to the calculated quantity to be detected; the parameter adjuster array adjusts verification parameters according to the range of the quantity to be detected; and the amplitude or power search detector directly outputs a signal capture result according to the adjusted verification parameter or outputs the signal capture result after executing the original normal capture verification strategy.

The threshold comparator array comprises N threshold comparators, the parameter adjuster array comprises N parameter adjusters, N is an integer larger than 1, and the N threshold comparators and the N parameter adjusters are in one-to-one correspondence.

The original normal capture verification strategy comprises adopting a Tong algorithm or an M algorithm of N.

The threshold comparator array comprises a threshold comparator for setting a highest threshold value VH for the quantity V to be detected and a threshold comparator for setting a lowest threshold value VL for the quantity V to be detected, and the range of the quantity to be detected is divided into V larger than VH, V smaller than VL and V larger than or equal to VL and smaller than or equal to VH; the adjusting the verification parameters comprises: when V is larger than VH, finishing searching and declaring that the signal capture is successful; when V is less than VL, searching other units to be searched until the search is finished; when VL is less than or equal to V and less than or equal to VH, a normal Tong algorithm, or an M algorithm of N, or other algorithms are adopted to carry out a normal capture verification strategy.

The Tong algorithm includes the following steps: step Z11, judging whether the detected quantity V is larger than or equal to the detected quantity threshold VT, if so, entering a flow a, and if not, entering a flow b; the flow a comprises a step a12, the value of the counter K is increased by 1; step a13, judging whether K is equal to A, wherein A is a preset threshold value of the counter K, if yes, signaling that the signal capture is successful, and if not, continuing to search in the unit; the flow b comprises a step b12, namely subtracting 1 from the value of the counter K; step b13, judging whether K is 0, if not, continuing to search in the unit, if yes, entering step b 14; step B14, judging whether the current searching unit is the last unit, if yes, then declaring signal does not exist and ending the capturing process, if no, then judging signal has not been captured, resetting counter K value as B, B as reduced initial value, and continuing the searching of the next unit.

The N M algorithm comprises the following steps: step Z21, judging whether the detection quantity V is larger than or equal to the detection quantity threshold VT, if so, increasing the value of the counter J by 1 and then entering step Z22, and if not, directly entering step Z22; step Z22, after the counter P value is decreased by 1, determining whether P is 0, if not, continuing the search in the unit, if yes, proceeding to step Z23; step Z23, judging that J is larger than or equal to M, wherein M is a search success frequency threshold preset by a counter J, if so, declaring that signal capture is successful and finishing capture, and if not, entering step Z24; step Z24, determining whether the current search unit is the last unit, if yes, declaring that the signal does not exist and ending the capture process, if no, determining that the signal has not been captured, resetting the counter P equal to N, where N is a decreasing initial value, and continuing the search of the next unit.

A multi-threshold self-adaptive capture verification strategy method is characterized by comprising the following execution main bodies which are sequentially connected to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the multi-threshold self-adaptive capture verification strategy process comprises the following steps: step 1, a detection quantity calculation module calculates a quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; step 2, the threshold comparator array judges the quantity to be detected, and each threshold comparator transmits the judgment result to each parameter adjuster in the parameter adjuster array in a one-to-one mode; step 3, the parameter adjuster correspondingly adjusts the size of the threshold used in the current verification measurement according to the result of the threshold comparator; step 4, the amplitude or power searching detector judges whether the signal of the current searching unit passes the verification according to the adjusted threshold value used in the current verification measurement, if so, the signal is declared to be successfully captured and the capturing process is ended, and if not, the step 5 is carried out; and 5, judging whether the current searching unit is the last unit or not, if so, declaring that the signal does not exist and ending the capturing process, and if not, returning to the step 1 to select the next searching unit.

A multi-threshold self-adaptive capture verification strategy method is characterized by comprising the following execution main bodies which are sequentially connected to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the multi-threshold self-adaptive capture verification strategy process comprises the following steps: step 1, a detection quantity calculation module calculates a quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; step 2, detecting the range of the quantity to be detected through a threshold comparator array, wherein the threshold value of the quantity to be detected V comprises a highest threshold value VH and a lowest threshold value VL, the range of the quantity to be detected is divided into V which is more than VH, V which is less than VL and V which is less than or equal to VL and less than or equal to VH, or a multi-level highest threshold and/or a multi-level lowest threshold are set according to the signal quality condition; step 3, the parameter adjuster adjusts the verification parameters according to the range of the to-be-detected quantity, and when V is larger than VH, the searching is finished and the successful signal capturing is declared; when V is less than VL, searching other units to be searched until the search is finished, and when V is less than or equal to VL and less than or equal to VH, adopting a normal Tong algorithm, or an M algorithm of N, or other algorithms to carry out a normal capture verification strategy; and 4, directly outputting a signal capturing result according to the verification parameters through an amplitude or power search detector or outputting the signal capturing result after executing the normal capturing verification strategy.

The invention has the following technical effects: the multi-threshold self-adaptive capture verification strategy method dynamically adjusts the parameters of capture verification according to the signal quality condition through the synergistic effect of the threshold comparator array and the parameter adjuster array, can simplify the verification process, reduce the detection times, and simultaneously can reduce the omission factor or the false alarm. The invention can be applied to navigation receivers, baseband digital signal processing modules, GNSS satellite signal capturing stages and the like.

Drawings

Fig. 1 is a flow chart illustrating a multi-threshold adaptive capture verification strategy method according to the present invention. Fig. 1 includes the following execution entities connected in sequence to execute the multi-threshold adaptive capture verification policy process: a detection quantity calculation module, a threshold comparator (threshold comparator array), a parameter adjuster (parameter adjuster array), and an amplitude or power search detector. Fig. 1 includes a step 1 of calculating a detection amount (the detection amount is a signal amplitude or a signal power, and is calculated from an IQ signal, I is In-phase, i.e., In-phase, Q is Quadrature, and Q is 90 degrees out of phase with I); step 2, detecting the range of the quantity to be detected through a threshold comparator, wherein the quantity to be detected is the signal amplitude or power of the current search unit, the threshold value of the quantity to be detected V comprises a highest threshold value VH and a lowest threshold value VL, the range of the quantity to be detected is divided into V & gt VH, V & lt VL, and V & ltVL & gt is smaller than or equal to VH, and a multi-level highest threshold and/or a multi-level lowest threshold can be set according to the signal quality condition; step 3, adjusting verification parameters through a parameter adjuster according to the range of the quantity to be detected (when V is larger than VH, the search is finished and the signal capture is declared to be successful; when V is smaller than VL, other units to be searched are searched until the search is finished; when VL is smaller than or equal to V and smaller than or equal to VH, a normal Tong algorithm, or an M algorithm of N, or other algorithms are adopted so as to carry out a normal capture verification strategy); and 4, directly outputting a signal capturing result according to the verification parameters through an amplitude or power search detector or outputting the signal capturing result after executing the normal capturing verification strategy.

Fig. 2 is a detailed flow diagram of the method for implementing a multi-threshold adaptive capture verification strategy by each implementation entity in fig. 1. Fig. 2 includes step 1, calculating a detection amount (the detection amount is a signal amplitude or a signal power, and is calculated according to an IQ signal, I is In-phase, Q is Quadrature, Q is 90 degrees out of phase with I, and the detection amount is also an amount to be detected); step 2, adopting N threshold comparators to judge the quantity to be detected, wherein N is an integer greater than 1, and transmitting respective judgment results of the N threshold comparators to N parameter regulators in a one-to-one manner (the parameter regulators can correspondingly regulate the size of the threshold used in the current verification measurement according to the results of the threshold comparators, also called threshold regulators); step 3, the parameter adjuster can correspondingly adjust the size of the threshold used in the current verification measurement according to the result of the threshold comparator; step 4, the amplitude or power searching detector judges whether the signal of the current searching unit passes the verification according to the adjusted threshold value used in the current verification measurement, if so, the signal is declared to be successfully captured and the capturing process is ended, and if not, the step 5 is carried out; and 5, judging whether the current searching unit is the last unit or not, if so, declaring that the signal does not exist and ending the capturing process, and if not, returning to the step 1 to select the next searching unit.

FIG. 3 is a flowchart illustrating a normal capture verification strategy performed by each of the executives of FIG. 1 using the normal Tong algorithm when VL ≦ V ≦ VH. Fig. 3 includes step 1, calculating the detection amount (the detection amount is the signal amplitude or the signal power, and is calculated according to IQ signals, I is In-phase, Q is Quadrature, and Q is 90 degrees out of phase with I); step 2, judging whether the detection quantity V is larger than VH, if so, directly setting a counter K as a threshold value A, namely, K is equal to A, declaring that the signal capture is successful and finishing the capture, and if not, entering step 3; step 3, judging whether the detected quantity V is less than VL, if so, directly setting the counter K to be 0, searching other units to be searched until the search is finished, declaring that no signal exists and finishing the capturing process, and if not, entering step 4; step 4, judging whether the detection quantity V is larger than or equal to the detection quantity threshold VT, if so, entering a flow a, and if not, entering a flow b; the flow a comprises a step a5, the value of the counter K is increased by 1; step a6, judging whether K is A, if yes, declaring the signal capturing is successful, if no, continuing to search in the unit; the flow b comprises a step b5, namely subtracting 1 from the value of the counter K; step b6, judging whether K is 0, if not, continuing to search in the unit, if yes, entering step b 7; and B7, judging whether the current searching unit is the last unit, if so, declaring that the signal does not exist and ending the capturing process, if not, judging that the signal is not captured, resetting the counter K value to be B (B is a reduction initial value), and returning to the step 1 to continue the searching of the next unit.

FIG. 4 is a flowchart illustrating a normal capture verification strategy using the normal N M algorithm for each executive in FIG. 1, including VL ≦ V ≦ VH. Fig. 4 includes step 1, calculating the detection amount (the detection amount is the signal amplitude or the signal power, and is calculated according to IQ signals, I is In-phase, Q is Quadrature, and Q is 90 degrees out of phase with I); step 2, judging whether the detection quantity V is larger than VH, if yes, directly setting a counter J as a search success frequency threshold M, namely, if J is equal to M, declaring that the signal capture is successful and ending the capture, and if not, entering step 3; step 3, judging whether the detection quantity V is less than VL or not, if so, directly setting the counter P to be 0, searching other units to be searched until the search is finished after P is 0, declaring that no signal exists and finishing the capturing process, and if not, entering step 4; step 4, judging whether the detected quantity V is larger than or equal to the detected quantity threshold VT, if so, increasing the J value by 1 and then entering step 5, and if not, directly entering step 5; step 5, after the counter P value is subtracted by 1, judging whether P is 0 or not, if not, continuing to search in the unit, and if yes, entering step 6; step 6, judging that J is larger than or equal to M, if so, declaring that the signal capture is successful and finishing the capture, and if not, entering step 7; and 7, judging whether the current searching unit is the last unit or not, if so, declaring that the signal does not exist and ending the capturing process, otherwise, judging that the signal is not captured, resetting the counter P to N (N is a reduced initial value), and returning to the step 1 to continue the searching of the next unit.

Detailed Description

The invention is explained below with reference to the figures (fig. 1-4) and the examples.

Fig. 1 is a flow chart illustrating a multi-threshold adaptive capture verification strategy method according to the present invention. Fig. 2 is a detailed flow diagram of the method for implementing a multi-threshold adaptive capture verification strategy by each implementation entity in fig. 1. FIG. 3 is a flowchart illustrating a normal capture verification strategy performed by each of the executives of FIG. 1 using the normal Tong algorithm when VL ≦ V ≦ VH. FIG. 4 is a flowchart illustrating a normal capture verification strategy using the normal N M algorithm for each executive in FIG. 1, including VL ≦ V ≦ VH. Referring to fig. 1 to 4, a multi-threshold adaptive capture verification policy method includes the following execution main bodies connected in sequence to execute a multi-threshold adaptive capture verification policy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the multi-threshold self-adaptive capture verification strategy process comprises the following steps: step 1, a detection quantity calculation module calculates a quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; step 2, the threshold comparator array judges the quantity to be detected, and each threshold comparator transmits the judgment result to each parameter adjuster in the parameter adjuster array in a one-to-one mode; step 3, the parameter adjuster correspondingly adjusts the size of the threshold used in the current verification measurement according to the result of the threshold comparator; step 4, the amplitude or power searching detector judges whether the signal of the current searching unit passes the verification according to the adjusted threshold value used in the current verification measurement, if so, the signal is declared to be successfully captured and the capturing process is ended, and if not, the step 5 is carried out; and 5, judging whether the current searching unit is the last unit or not, if so, declaring that the signal does not exist and ending the capturing process, and if not, returning to the step 1 to select the next searching unit.

A multi-threshold self-adaptive capture verification strategy method comprises the following execution main bodies which are connected in sequence to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the multi-threshold self-adaptive capture verification strategy process comprises the following steps: step 1, a detection quantity calculation module calculates a quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; step 2, detecting the range of the quantity to be detected through a threshold comparator array, wherein the threshold value of the quantity to be detected V comprises a highest threshold value VH and a lowest threshold value VL, the range of the quantity to be detected is divided into V which is more than VH, V which is less than VL and V which is less than or equal to VL and less than or equal to VH, or a multi-level highest threshold and/or a multi-level lowest threshold are set according to the signal quality condition; step 3, the parameter adjuster adjusts the verification parameters according to the range of the to-be-detected quantity, and when V is larger than VH, the searching is finished and the successful signal capturing is declared; when V is less than VL, searching other units to be searched until the search is finished, and when V is less than or equal to VL and less than or equal to VH, adopting a normal Tong algorithm, or an M algorithm of N, or other algorithms to carry out a normal capture verification strategy; and 4, directly outputting a signal capturing result according to the verification parameters through an amplitude or power search detector or outputting the signal capturing result after executing the normal capturing verification strategy.

A multi-threshold self-adaptive capture verification strategy method comprises the following execution main bodies which are connected in sequence to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the detection quantity calculation module calculates the quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or the power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; the threshold comparator array selects a range of the quantity to be detected matched with a set threshold of a certain threshold comparator according to the calculated quantity to be detected; the parameter adjuster array adjusts verification parameters according to the range of the quantity to be detected; and the amplitude or power search detector directly outputs a signal capture result according to the adjusted verification parameter or outputs the signal capture result after executing the original normal capture verification strategy. The threshold comparator array comprises N threshold comparators, the parameter adjuster array comprises N parameter adjusters, N is an integer larger than 1, and the N threshold comparators and the N parameter adjusters are in one-to-one correspondence. The original normal capture verification strategy comprises adopting a Tong algorithm or an M algorithm of N. The threshold comparator array comprises a threshold comparator for setting a highest threshold value VH for the quantity V to be detected and a threshold comparator for setting a lowest threshold value VL for the quantity V to be detected, and the range of the quantity to be detected is divided into V larger than VH, V smaller than VL and V larger than or equal to VL and smaller than or equal to VH; the adjusting the verification parameters comprises: when V is larger than VH, finishing searching and declaring that the signal capture is successful; when V is less than VL, searching other units to be searched until the search is finished; when VL is less than or equal to V and less than or equal to VH, a normal Tong algorithm, or an M algorithm of N, or other algorithms are adopted to carry out a normal capture verification strategy.

The Tong algorithm includes the following steps: step Z11, judging whether the detected quantity V is larger than or equal to the detected quantity threshold VT, if so, entering a flow a, and if not, entering a flow b; the flow a comprises a step a12, the value of the counter K is increased by 1; step a13, judging whether K is equal to A, wherein A is a preset threshold value of the counter K, if yes, signaling that the signal capture is successful, and if not, continuing to search in the unit; the flow b comprises a step b12, namely subtracting 1 from the value of the counter K; step b13, judging whether K is 0, if not, continuing to search in the unit, if yes, entering step b 14; step B14, judging whether the current searching unit is the last unit, if yes, then declaring signal does not exist and ending the capturing process, if no, then judging signal has not been captured, resetting counter K value as B, B as reduced initial value, and continuing the searching of the next unit. The N M algorithm comprises the following steps: step Z21, judging whether the detection quantity V is larger than or equal to the detection quantity threshold VT, if so, increasing the value of the counter J by 1 and then entering step Z22, and if not, directly entering step Z22; step Z22, after the counter P value is decreased by 1, determining whether P is 0, if not, continuing the search in the unit, if yes, proceeding to step Z23; step Z23, judging that J is larger than or equal to M, wherein M is a search success frequency threshold preset by a counter J, if so, declaring that signal capture is successful and finishing capture, and if not, entering step Z24; step Z24, determining whether the current search unit is the last unit, if yes, declaring that the signal does not exist and ending the capture process, if no, determining that the signal has not been captured, resetting the counter P equal to N, where N is a decreasing initial value, and continuing the search of the next unit.

The detection function is to obtain signal detection quantity through operations such as frequency mixing, correlation operation, coherent integration/non-coherent integration and the like, and obtain a detection result through a certain decision strategy, wherein the commonly used decision strategy comprises threshold value decision and maximum value decision. The verification function is to finally judge whether a signal exists on the square grid through a certain verification strategy, and a common detection verification algorithm is divided into a single-residence verification strategy and a multi-residence verification strategy. The multi-resident verification strategy is divided into a fixed search time method and a variable search time method. The fixed search time method is characterized in that a receiver searches for a preset fixed time on each search unit in total, and then judges whether the acquisition is successful or not according to the multiple search results of the search units in the time period, wherein the judgment represents that the algorithm has an M algorithm of N; the variable search time method is that a receiver may search for an unequal time on each search unit according to a certain rule and in combination with the detection situation at that time, and the overall acquisition performance of the variable search time method is generally better than that of the fixed search time method, which represents that the algorithm is the Tong algorithm.

The multi-threshold adaptive capture verification strategy proposed by the patent is shown in fig. 1, and a dotted frame in the figure marks key differences between the detection method and the traditional method. It can be seen that the core of the detection method is a threshold comparator and a parameter adjuster, as compared to the conventional detection method. The method aims to adjust parameters in the process of capturing and verifying according to the magnitude relation between the amplitude or power (hereinafter referred to as 'amount to be detected') of a current search unit signal and a corresponding threshold during each verification. The process is described in detail as follows:

the multi-threshold adaptive capture verification strategy flows shown in fig. 1 and fig. 2 indicate that each relevant branch including a pair of I and Q branches corresponds to a set of threshold comparators and parameter adjusters.

In each verification process, the threshold comparator detects the range of the quantity to be detected, and adjusts the verification parameters according to the range to improve the verification process, so that the verification process of strong signals is ended as soon as possible, or the verification times of weak signals are added, and the omission detection is avoided.

For example, if the threshold comparator detects that the amount to be detected exceeds the set highest threshold in each verification process, and the signal quality can be considered to be not good, the parameter adjuster may adjust the verification parameters to improve the verification process, so as to terminate the verification process for strong signals as soon as possible.

It is also possible that if the threshold comparator detects that the amount to be detected is below the set minimum threshold during each verification process, and the signal quality can be considered poor, the parameter adjuster may adjust the verification parameters to improve the verification process so as to end the verification process for weak signals as soon as possible.

In other cases, if the threshold comparator detects that the amount to be detected is between other thresholds during each verification process, and the signal strength can be considered to be within a certain range, the parameter adjuster may adjust the verification parameters to improve the verification process, so as to end the verification process for the current signal as soon as possible, or avoid missing detection by adding detection times.

It can be seen that the introduction of the threshold comparator and the parameter adjuster can effectively improve the detection verification process for the signal, thereby avoiding the overhead of time and other resources caused by unnecessary cycle verification, or reducing the probability of missed detection.

The amplitude or power search detector may be a known Tong algorithm or an M of N algorithm, or other algorithms.

It should be noted that the threshold comparator and the parameter adjuster proposed in this patent may be implemented in various ways, and are all within the scope of protection of this patent. Examples are as follows:

a threshold comparator: the core of this is the threshold range setting. For a search unit to be verified, when the current quantity to be detected is sent to each threshold comparator, each threshold comparator judges the quantity to be detected according to the size of each threshold and feeds the quantity to the corresponding parameter regulator.

The simplest threshold range setting is to set a highest threshold and a lowest threshold. If the current to-be-detected quantity exceeds the set maximum threshold, the signal of the current search unit can be considered to be strong enough, the search of the current search unit can be directly finished, and the successful capture is declared; if the current quantity to be detected is lower than the set minimum threshold, the signal of the current search unit is considered to be too weak, the search of the current search unit can be directly finished, whether other units to be searched exist is judged, if yes, the search is continued on the next search unit, and if not, the search is finished.

Certainly, the threshold comparator is not limited to directly comparing the amount to be detected this time with the corresponding threshold value, but may also compare the amount to be detected last time with the amount to be detected this time after weighting; or the result after calculation by other algorithms to compare the magnitude with the corresponding threshold value.

The threshold comparators corresponding to two different trend determination rules are exemplified above, and the threshold comparator proposed in this patent includes, but is not limited to, the above types. Any algorithm or rule that adjusts the latter threshold by threshold comparison is within the scope of this patent.

A parameter adjuster: the function of the parameter adjuster is to adjust the size of the threshold used in the current verification measurement accordingly, based on the result of the threshold comparator. The adjustment may be an operation of directly adding or subtracting a fixed number to or from the threshold value, or may be an operation of adding or subtracting a different number each time according to a different relationship between the amount to be detected in the threshold comparator and the threshold.

Example 1: the Tong capture search detection method is improved based on the proposed invention, as shown in fig. 3. For convenience of description, two threshold comparators are provided and correspond to the two parameter adjusters, respectively. The thresholds of the two threshold comparators are set as the highest threshold and the lowest threshold respectively. Of course, there are other forms, for example, when the value of the current amount to be detected and the value weighted by the last amount to be detected conform to the set value interval, the missed detection can be avoided by adding the verification times. Further threshold comparator and parameter adjuster schemes are within the scope of this patent, by way of example only.

The quantity to be detected in the current unit to be detected firstly enters a highest threshold detector, if the quantity to be detected exceeds the set highest threshold, the signal of the current search unit can be considered to be strong enough, a detection counter K can be directly set as a threshold value A, so that the search of the current search unit is finished, and the successful capture is declared.

If the current quantity to be detected does not exceed the set highest threshold, the current quantity to be detected directly enters a lowest threshold detector, if the current quantity to be detected is lower than the set lowest threshold, the signal of the current search unit can be considered to be too weak, a detection counter K can be directly set to 0 so as to finish the search of the current search unit and judge whether other units to be searched exist, if so, the search is continued on the next search unit, and if not, the search is finished.

And if the current quantity to be detected is between the set highest threshold and the set lowest threshold, comparing and carrying out a normal Tong capture verification strategy.

Example 2: as shown in fig. 4, the proposed invention improves on the M-capture search detection method of N. In the dotted line are the "threshold comparator" and "parameter adjuster" functions described above. For convenience of description, two threshold comparators are provided and correspond to the two parameter adjusters, respectively. The thresholds of the two threshold comparators are set as the highest threshold and the lowest threshold respectively.

The quantity to be detected in the current unit to be detected firstly enters a highest threshold detector, if the quantity to be detected exceeds the set highest threshold, the signal of the current search unit can be considered to be strong enough, a detection counter J can be directly set as a threshold value M, so that the search of the current search unit is finished, and the successful capture is declared.

If the current quantity to be detected does not exceed the set highest threshold, the current quantity to be detected directly enters a lowest threshold detector, if the current quantity to be detected is lower than the set lowest threshold, the signal of the current searching unit can be considered to be too weak, a counter P of the number of times to be searched can be directly set to be 0 so as to finish the searching of the current searching unit and judge whether other units to be searched exist, if so, the searching is continued on the next searching unit, and if not, the searching is finished.

And if the current quantity to be detected is between the set highest threshold and the set lowest threshold, comparing and carrying out a normal N M capture verification strategy.

Those not described in detail in this specification are within the skill of the art. It is pointed out here that the above description is helpful for the person skilled in the art to understand the invention, but does not limit the scope of protection of the invention. Any such equivalents, modifications and/or omissions as may be made without departing from the spirit and scope of the invention may be resorted to.

Claims

1. A multi-threshold self-adaptive capture verification strategy method is characterized by comprising the following execution main bodies which are sequentially connected to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the detection quantity calculation module calculates the quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or the power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; the threshold comparator array selects a range of the quantity to be detected matched with a set threshold of a certain threshold comparator according to the calculated quantity to be detected; the parameter adjuster array adjusts verification parameters according to the range of the quantity to be detected; and the amplitude or power search detector directly outputs a signal capture result according to the adjusted verification parameter or outputs the signal capture result after executing the original normal capture verification strategy.

2. The multi-threshold adaptive capture verification strategy of claim 1, wherein the threshold comparator array comprises N threshold comparators, the parameter adjuster array comprises N parameter adjusters, N is an integer greater than 1, and the N threshold comparators and the N parameter adjusters are in one-to-one correspondence.

3. The multi-threshold adaptive acquisition verification strategy method of claim 1, wherein the original normal acquisition verification strategy comprises using a Tong algorithm or an N M algorithm.

4. The multi-threshold adaptive capture verification strategy method of claim 1, wherein the threshold comparator array comprises a threshold comparator for setting a highest threshold value VH for the quantity V to be detected and a threshold comparator for setting a lowest threshold value VL for the quantity V to be detected, the quantity to be detected is divided into V > VH, V < VL, and VL ≦ V ≦ VH; the adjusting the verification parameters comprises: when V is larger than VH, finishing searching and declaring that the signal capture is successful; when V is less than VL, searching other units to be searched until the search is finished; when VL is less than or equal to V and less than or equal to VH, a normal Tong algorithm, or an M algorithm of N, or other algorithms are adopted to carry out a normal capture verification strategy.

5. The multi-threshold adaptive acquisition verification strategy method according to claim 4, wherein the Tong algorithm comprises the following steps: step Z11, judging whether the detected quantity V is larger than or equal to the detected quantity threshold VT, if so, entering a flow a, and if not, entering a flow b; the flow a comprises a step a12, the value of the counter K is increased by 1; step a13, judging whether K is equal to A, wherein A is a preset threshold value of the counter K, if yes, signaling that the signal capture is successful, and if not, continuing to search in the unit; the flow b comprises a step b12, namely subtracting 1 from the value of the counter K; step b13, judging whether K is 0, if not, continuing to search in the unit, if yes, entering step b 14; step B14, judging whether the current searching unit is the last unit, if yes, then declaring signal does not exist and ending the capturing process, if no, then judging signal has not been captured, resetting counter K value as B, B as reduced initial value, and continuing the searching of the next unit.

6. The multi-threshold adaptive acquisition verification strategy method of claim 4, wherein the N-M algorithm comprises the following steps: step Z21, judging whether the detection quantity V is larger than or equal to the detection quantity threshold VT, if so, increasing the value of the counter J by 1 and then entering step Z22, and if not, directly entering step Z22; step Z22, after the counter P value is decreased by 1, determining whether P is 0, if not, continuing the search in the unit, if yes, proceeding to step Z23; step Z23, judging that J is larger than or equal to M, wherein M is a search success frequency threshold preset by a counter J, if so, declaring that signal capture is successful and finishing capture, and if not, entering step Z24; step Z24, determining whether the current search unit is the last unit, if yes, declaring that the signal does not exist and ending the capture process, if no, determining that the signal has not been captured, resetting the counter P equal to N, where N is a decreasing initial value, and continuing the search of the next unit.

7. A multi-threshold self-adaptive capture verification strategy method is characterized by comprising the following execution main bodies which are sequentially connected to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the multi-threshold self-adaptive capture verification strategy process comprises the following steps: step 1, a detection quantity calculation module calculates a quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; step 2, the threshold comparator array judges the quantity to be detected, and each threshold comparator transmits the judgment result to each parameter adjuster in the parameter adjuster array in a one-to-one mode; step 3, the parameter adjuster correspondingly adjusts the size of the threshold used in the current verification measurement according to the result of the threshold comparator; step 4, the amplitude or power searching detector judges whether the signal of the current searching unit passes the verification according to the adjusted threshold value used in the current verification measurement, if so, the signal is declared to be successfully captured and the capturing process is ended, and if not, the step 5 is carried out; and 5, judging whether the current searching unit is the last unit or not, if so, declaring that the signal does not exist and ending the capturing process, and if not, returning to the step 1 to select the next searching unit.

8. A multi-threshold self-adaptive capture verification strategy method is characterized by comprising the following execution main bodies which are sequentially connected to execute a multi-threshold self-adaptive capture verification strategy process: the device comprises a detection quantity calculation module, a threshold comparator array, a parameter adjuster array and an amplitude or power search detector; the multi-threshold self-adaptive capture verification strategy process comprises the following steps: step 1, a detection quantity calculation module calculates a quantity to be detected according to an IQ signal, wherein the quantity to be detected is the amplitude or power of a current search unit signal, the IQ signal comprises an in-phase signal I and an orthogonal signal Q, and the phase difference between the Q and the I is 90 degrees; step 2, detecting the range of the quantity to be detected through a threshold comparator array, wherein the threshold value of the quantity to be detected V comprises a highest threshold value VH and a lowest threshold value VL, the range of the quantity to be detected is divided into V which is more than VH, V which is less than VL and V which is less than or equal to VL and less than or equal to VH, or a multi-level highest threshold and/or a multi-level lowest threshold are set according to the signal quality condition; step 3, the parameter adjuster adjusts the verification parameters according to the range of the to-be-detected quantity, and when V is larger than VH, the searching is finished and the successful signal capturing is declared; when V is less than VL, searching other units to be searched until the search is finished, and when V is less than or equal to VL and less than or equal to VH, adopting a normal Tong algorithm, or an M algorithm of N, or other algorithms to carry out a normal capture verification strategy; and 4, directly outputting a signal capturing result according to the verification parameters through an amplitude or power search detector or outputting the signal capturing result after executing the normal capturing verification strategy.