A blind phase estimation method and system for high-speed frequency hopping systems

Abstract

This invention relates to a blind phase estimation method and system for a high-speed frequency hopping system. The method includes: a receiver capturing a synchronization hop based on a synchronization code to determine the synchronization time of the frequency hopping system; determining the position of a data symbol in each data hop based on the synchronization time, and selecting N unknown data symbols to participate in phase estimation; after deducting necessary fixed overhead, the remaining time of each data hop is used entirely for data transmission; for binary digital modulation, the N raw bits corresponding to the N unknown data symbols have K possible values, where K=2^N. N For each phase value, the local modulated signal is correlated with the received signal at that location to obtain a possible phase estimate, resulting in K possible phase estimates. The optimal value is then selected from these K estimates. This invention achieves phase estimation without inserting pilot sequences, saving transmission overhead, meeting the needs of users requiring high-speed information, and simultaneously improving coding gain and system performance.

Description

Technical Field

[0001] This invention belongs to the field of communication technology, and in particular relates to a blind phase estimation method and system for high-speed frequency hopping systems. Background Technology

[0002] In wireless communication systems, the receiver mixes the input signal with the output signal of the frequency synthesizer, transforming it to a relatively low intermediate frequency (IF). For an ideal receiver, these frequency transformations do not distort the input signal. However, for a practical receiver, non-ideal factors of the local oscillator and the frequency synthesizer can distort the input signal, causing phase shift and thus reducing the receiver's demodulation performance. Therefore, it is necessary to estimate the phase shift of each data hop at the receiver and then recover the phase of the data to improve the system's communication performance. The traditional technique involves inserting a certain number of pilot sequences into each data hop for phase estimation.

[0003] High-speed frequency hopping systems are an effective technique for evading frequency tracking interference. However, these systems have short dwell times per hop, while high-speed transmission is a crucial user requirement in communications. To ensure data transmission with sufficient coding gain, it's necessary to reduce overhead within the already short dwell time. Typically, phase estimation requires sending a pilot sequence for each data hop, increasing transmission overhead and reducing the data transmission rate. Therefore, traditional pilot insertion techniques cannot meet the high-speed information transmission needs of users in high-speed frequency hopping systems. Summary of the Invention

[0004] The purpose of this invention is to provide a blind phase estimation method and system for high-speed frequency hopping systems. This method can complete the phase estimation function without inserting pilot sequences, saving transmission overhead, meeting the user needs of high-speed information, and improving coding gain, thereby effectively improving system performance.

[0005] This invention provides a blind phase estimation method for a high-speed frequency hopping system, comprising the following steps:

[0006] Step 1: The receiving end captures the synchronization hop based on the synchronization code to determine the synchronization time of the frequency hopping system;

[0007] Step 2: Determine the position of the data symbol in each data hop based on the synchronization time, and select N unknown data symbols to participate in phase estimation; the data hop, excluding necessary fixed overhead including power rise and power fall of X symbol lengths and frequency switching time of Y symbol lengths, is used entirely for data transmission.

[0008] Step 3: For binary digital modulation, the N raw bits corresponding to the N unknown data symbols have K possible values, where K = 2^N. NFor each value, the local modulated signal is correlated with the received signal at that location to obtain a possible phase estimate, resulting in a total of K phase estimates.

[0009] Step 4: Find the optimal value from the K phase estimates.

[0010] Furthermore, the method for finding the optimal value in step 4 is as follows:

[0011] For each value of the local modulated signal, the correlation power is calculated with the received signal corresponding to that location. The phase estimate corresponding to the maximum correlation power is the optimal phase estimate. The phase estimate is used to perform phase recovery on the received signal and complete the subsequent demodulation processing.

[0012] Furthermore, the method for finding the optimal value in step 4 is as follows:

[0013] Phase recovery is performed on the received signal using each phase estimate, and subsequent demodulation processing is completed accordingly. The absolute values ​​of the soft information output by each demodulation are summed as a reliability metric. The maximum metric value is found among K metrics, and the corresponding demodulation result is taken as the best demodulation result.

[0014] The present invention also provides a blind phase estimation system for a high-speed frequency hopping system, including a blind phase estimation module, wherein the blind phase estimation module performs the blind phase estimation method for the high-speed frequency hopping system.

[0015] The present invention also provides a non-transitory computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the blind phase estimation method for a high-speed frequency hopping system.

[0016] The present invention also provides an electronic device, comprising:

[0017] The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes these computer instructions to perform the blind phase estimation method for a high-speed frequency hopping system.

[0018] By employing the above scheme, the blind phase estimation method and system for high-speed frequency hopping systems achieve the following technical effects:

[0019] 1) Phase estimation can be performed without transmitting pilot sequences, saving channel bandwidth and effectively improving the information transmission rate, making it particularly suitable for high-speed frequency hopping systems.

[0020] 2) The phase estimation accuracy is no longer limited by the pilot length. The appropriate length can be selected in the data section for phase estimation according to the actual accuracy requirements.

[0021] 3) It will not increase additional hardware costs. By adding software modules, phase estimation can be effectively carried out, improving the communication performance of the high-speed frequency hopping system.

[0022] The above description is only an overview of the technical solution of the present invention. In order to be able to more clearly understand the technical means of the present invention and implement it according to the content of the specification, the following describes the preferred embodiments of the present invention in detail in conjunction with the accompanying drawings. Brief Description of the Drawings

[0023] Figure 1 It is a flowchart of the blind phase estimation method for the high-speed frequency hopping system of the present invention;

[0024] Figure 2 It is a schematic diagram of the data hopping structure of the present invention;

[0025] Figure 3 It is a flowchart of the first scheme for finding the optimal value in the present invention;

[0026] Figure 4 It is a flowchart of the second scheme for finding the optimal value in the present invention;

[0027] Figure 5 It is a schematic diagram of the structure of an electronic device of the present invention. Detailed Embodiment

[0028] The following combines the accompanying drawings and embodiments to further describe the specific embodiments of the present invention in detail. The following embodiments are used to illustrate the present invention, but are not used to limit the scope of the present invention.

[0029] Refer to Figure 1 As shown, this embodiment provides a blind phase estimation method for a high-speed frequency hopping system, including the following steps:

[0030] Step S1: The receiving end performs synchronization hopping capture according to the synchronization code to determine the synchronization time of the frequency hopping system.

[0031] Step S2: Determine the positions of data symbols in each data hop according to the synchronization time, and select N unknown data symbols to participate in phase estimation. The larger the value of N, the more accurate the phase estimation result, but the computational complexity will also increase. The data hopping structure is as Figure 2 shown. Excluding the necessary fixed overhead, the data hop includes a power ramp of X symbol lengths, a power drop of X symbol lengths, a frequency switching time of Y symbol lengths, and the rest of the time is used to transmit data.

[0032] Step S3: For binary digital modulation, there are K possible value modes for the N original bits corresponding to the N unknown data symbols, K = 2 N, the local modulation signal of each value-taking method is correlated with the received signal corresponding to this position to obtain a possible phase estimation value, and a total of K phase estimation values are obtained.

[0033] Step S4: Find the optimal value from the K phase estimation values. There are two options to choose from (the flowchart of the options is as Figure 3 , Figure 4 shown):

[0034] Option 1: Calculate the correlation power between the local modulation signal of each value and the received signal corresponding to this position. The phase estimation value corresponding to the maximum correlation power is the optimal phase estimation value. Use this phase estimation value to perform phase recovery operation on the received signal and complete the subsequent demodulation process.

[0035] Option 2: Use each phase estimation value to perform phase recovery operation on the received signal and complete the subsequent demodulation process respectively. For the soft information output by each demodulation, calculate the sum of the absolute values as the reliability metric. Find the maximum metric value from the K metric values, and its corresponding demodulation result is used as the optimal demodulation result.

[0036] The blind phase estimation method of this high-speed frequency hopping system has the following technical effects:

[0037] 1) Phase estimation can be performed without transmitting pilot sequences, saving channel bandwidth and effectively improving the information transmission rate, which is especially suitable for high-speed frequency hopping systems.

[0038] 2) The phase estimation accuracy is no longer limited by the length of the pilot. The appropriate length can be selected in the data part for phase estimation according to the actual accuracy requirements.

[0039] 3) It will not increase additional hardware costs. Phase estimation can be effectively performed by adding software modules, improving the communication performance of the high-speed frequency hopping system.

[0040] This embodiment also provides a blind phase estimation system for a high-speed frequency hopping system, including a blind phase estimation module, and the blind phase estimation module executes the blind phase estimation method of the high-speed frequency hopping system.

[0041] This embodiment also provides a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, the blind phase estimation method of the high-speed frequency hopping system is implemented.

[0042] As shown in Figure 5 , this embodiment also provides an electronic device, including:

[0043] The system includes a memory 201 and a processor 202, which are interconnected. The memory 201 stores computer instructions, and the processor 202 executes the blind phase estimation method for a high-speed frequency hopping system by executing the computer instructions.

[0044] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A blind phase estimation method for a high-speed frequency hopping system, characterized in that, Includes the following steps: Step 1: The receiving end captures the synchronization hop based on the synchronization code to determine the synchronization time of the frequency hopping system; Step 2: Determine the position of the data symbol in each data jump based on the synchronization time, and select... An unknown data symbol is involved in phase estimation; the data jump is removed. Power increase per symbol length, The power drop is 1 symbol length and the frequency switching time is 1 symbol length, with the rest of the time used to transmit data; Step 3, for binary digital modulation, The unknown data symbols correspond to There are 1 original bits Various ways of obtaining values, For each value, the local modulated signal is correlated with the received signal at that location to obtain a phase estimate, resulting in a total of... One phase estimate; Step 4, from Finding the optimal value among the phase estimates involves two methods: One method is: For each value of the local modulated signal, the correlation power is calculated with the received signal corresponding to that location. The phase estimate corresponding to the maximum correlation power is the optimal phase estimate. The phase estimate is used to perform phase recovery operation on the received signal and complete the subsequent demodulation processing. Another method is: Phase recovery is performed on the received signal using each phase estimate, and subsequent demodulation processing is completed accordingly. The absolute values ​​of the soft information output from each demodulation are summed and used as a reliability measure. The largest metric among the metric values ​​is selected as the optimal demodulation result.

2. A blind phase estimation system for a high-speed frequency hopping system, characterized in that, It includes a blind phase estimation module, which executes the blind phase estimation method for a high-speed frequency hopping system as described in claim 1.

3. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium stores computer instructions, which, when executed by a processor, implement the blind phase estimation method for a high-speed frequency hopping system as described in claim 1.

4. An electronic device, characterized in that, include: The system includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the blind phase estimation method for a high-speed frequency hopping system as described in claim 1.

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