SIGNALING-TYPE MANAGEMENT AND CONTROL METHOD FOR MOBILE PHONE SIGNAL

Abstract

A signaling-type method for mobile phone signals, comprising: establishing a shielding processing system, and ensuring that the frequency reference of said system is synchronized with that of a base station; using the feature that a frame signal of a base station is repeatedly transmitted according to a frame period of the base station, receiving the frame signal of the base station at different times; performing filtering processing on the frame signals of the base station using a frame averaging method, so as to obtain purified frame reference signals of the base station; and using the purified frame reference signals to shield the base station.

Claims

1. A signaling-type management and control method for mobile phone signals, the method comprising: establishing a shielding processing system, wherein a frequency reference of the shielding processing system is synchronized with that of a base station; receiving frame signals of the base station in time division; filtering the frame signals of the base station by multi-frame mean to select a frame reference signal of the base station; and shielding a transmitting signal of the base station by the selected frame reference signal to achieve management and control for the mobile phone signals.

2. The method of claim 1, wherein the filtering the frame signals of the base station by multi-frame mean is implemented by a sliding mean filtering algorithm, which comprises: creating a data buffer and storing N sets of sampled data in order in the data buffer; then discarding the earliest set of data when each new set of data is collected; and then calculating an arithmetic mean or a weighted mean of the N sets of data including the new sets of data.

3. The method of claim 1, wherein the filtering the frame signals of the base station by multi-frame mean is implemented by a cumulative mean algorithm, which comprises: setting an initial value; multiplying a previous output value by n−1, followed by adding a currently received value; and then dividing a result of the adding by n to obtain a result as a current output, wherein the value of n represents an mean number of times.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0014] FIG. 1 is a schematic diagram of storage and forwarding of a prior system disclosed in the Patent No. CN103607254B.

[0015] FIG. 2 is a schematic diagram showing storing data of a frame and then repeatedly sending the data, as disclosed in the Patent No. CN103607254B.

[0016] FIG. 3 is a flowchart diagram of a method for shielding a base station by using a frame reference signal of the base station according to a first embodiment of the present disclosure.

[0017] FIG. 4 is a schematic diagram of a sliding mean filtering method according to a second embodiment of the present disclosure.

[0018] FIG. 5 is a schematic diagram of an algorithm of a sliding mean filtering method.

[0019] FIG. 6 is a schematic diagram of a cumulative mean filtering method according to a third embodiment of the present disclosure.

DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The present disclosure will be further described in detail below with reference to the drawings and specific embodiments, and the present disclosure is related to a shielding device in the store-forward mode (the Patent No. CN103607254B).

The First Embodiment

[0021] The embodiment is a signaling-type management and control method for mobile phone signals, and the method may include the following steps, referring to FIG. 3: establishing a shielding processing system, wherein a frequency reference of the system is synchronized with that of a base station, receiving frame signals of the base station in time division, filtering the frame signals of the base station by multi-frame mean to select a frame reference signal of the base station, and shielding a transmitting signal of the base station by the selected frame reference signal to achieve management and control for the mobile phone signals.

[0022] According to the present disclosure, the frame signals of the base station are repeatedly sent according to the RF frame period of the base station, therefore, the frame signals of the base station are received in time division, and the frame signals of the base station are filtered by multi-frame mean. Since user data is changing over time, i.e., the signal of data has time-varying characteristics, most of the modulated signals of the user data contained in the frame signals are removed by filtering with vector sum due to the time-varying characteristics, i.e., the modulated signals of the user data, which consume most of the RF transmitting power, are removed from the frame signals, while the reference signal from the base station to the mobile phone is enhanced because it is always present and in constant phase. Then the filtered frame reference signal of the base station is transmitted synchronously to disrupt the base station signals. Because the transmitted frame reference signal of the base station and the original downlink frame reference signal of the base station have the same properties, either of them is the downlink frame reference signal of the base station for the mobile phone. However, the mobile phone cannot distinguish whether the signal is transmitted by the base station or by the shielding device, and when the disruption is large enough, it may cause failure of decoding and disconnection of the mobile phones with network. Based on the method of the present disclosure, during transmission the RF power consumed by the modulation signal portion of the user data, which accounts for a large percentage of the frame signals of present base stations, can be effectively avoided, thereby effectively improving the shielding efficiency of the shielding device. The technology is effective for various mobile communications, so it has good universality. The above-mentioned shielding processing system is a conventional system, and the specific structure of the system will not be described in detail.

The Second Embodiment

[0023] As shown in FIG. 4, a sliding mean filtering algorithm is used in the multi-frame mean of filtering process in the embodiment. Specifically, a data buffer is created first, and N sets of sample data are stored in order in the data buffer, then the earliest set of data is discarded when each new set of data is collected, and then an arithmetic mean or a weighted mean of the N sets of data including the new sets of data is calculated. For the case of a sliding mean filtering algorithm as a multi-frame mean filtering process, an arithmetic mean value or a weighted mean value of N sets of data including the new sets of data is calculated as a set of data for shielding transmission. In the figure, a dotted line is denoted by a flow direction of a next signal.

[0024] As shown in FIG. 5, in this embodiment, each set of data is composed of M sub-data, and there are N sets of data. During the operation, arithmetic mean or weighted mean processing is performed on the sub-data at the same position of the N sets of data, until each sub-data in one set of data and the sub-data at the corresponding position in the other N−1 sets of data are processed by arithmetically mean or weighted mean, and finally the sub-data is synthesized as one data set to be output.

The Third Embodiment

[0025] As shown in FIG. 6, a cumulative mean algorithm is used in the multi-frame mean of filtering process in the embodiment. An initial value is set as zero. A previous output value (namely, the set of data obtained by a previous operation, each data of which needs to be obtained) is multiplied by N−1, followed by adding a currently received value (the data in the corresponding set of data), and then a result of the adding is divided by N to obtain a result as a current output, wherein the value of N represents a mean number of times. Since a sliding mean filtering algorithm requires a large amount of data to be stored in a memory, it is suggested to adopt a cumulative mean calculation method when the storage resource is tight.

[0026] Similarly, each set of data received here can also include M sub-data. During the operation, each sub-data in a single data set is multiplied by n−1, followed by adding one sub-data at the corresponding position in the received data at a current time, and then a result of the adding is divided by n to obtain a result as the current output, and the current output also includes a set of data with M sub-data.

[0027] It is understood that to a person skilled in the art, equivalent substitutions or changes to the technical solutions and inventive ideas of the present disclosure shall fall within the scope of protection of the claims appended to the present disclosure.