A fast calculation method for adjacent channel interference

Abstract

The present invention provides a method for quickly calculating adjacent channel interference, which includes the following steps: Step 1, determine the adjacent channel interference situation according to the bandwidth overlap between the interfering system and the interfered system; Step 2, discretize the effective range of adjacent channel interference to obtain a discretized value data table; Step 3, based on the method of discrete dimensionality reduction, calculate the adjacent channel leakage power ratio (ACLR) and the adjacent channel rejection ratio (ACRR) for the adjacent channel interference situation; Step 4, calculate the effective power of adjacent channel interference according to the ACLR and the ACRR. This method analyzes 7 situations where there is adjacent channel interference between stations, and respectively designs simple algorithms by using the method of discrete dimensionality reduction, significantly reducing the calculation complexity of adjacent channel interference. It is particularly suitable for terminals with limited computing resources such as small portable computers and tablet computers, and can meet the needs of interference coexistence analysis for complex electromagnetic environments or large-scale networks on small computing terminals.

Description

Technical Field

[0001] The present invention belongs to the technical field of electromagnetic communication interference analysis for frequency-using systems, and particularly relates to a method for quickly calculating adjacent-channel interference. Background Art

[0002] Before the opening or deployment of a radio station, it is necessary to conduct interference coexistence analysis on the radio station. Adjacent-channel interference analysis is an important part of radio station interference analysis. Its main work is to calculate the effective power of adjacent-channel interference pairwise between the transmitting frequency points of interfering stations and the receiving frequency points of interfered stations that meet the adjacent-channel conditions. The calculation of the effective power of adjacent-channel interference is generally achieved by using the method of interval integration according to the templates of the transmitting filter of the interfering station and the receiving filter of the interfered station. In the interference coexistence analysis of complex electromagnetic environments or large-scale networks, due to the large number of stations involved and the complex interference coexistence relationships, the interference coexistence analysis software based on the traditional integration method has a large amount of calculation and needs to be deployed on a dedicated high-performance computer to quickly obtain the calculation results, and is not applicable to terminals with limited computing resources such as small portable computers and tablet computers. Summary of the Invention

[0003] Object of the Invention: Aiming at the problems of large calculation amount and limited computing resources in the traditional calculation method of effective adjacent-channel interference power for the above-mentioned radio station adjacent-channel interference analysis, the present invention proposes a method for quickly calculating adjacent-channel interference. By using the method of discrete dimensionality reduction to separately design a simple algorithm for calculating the effective power of adjacent-channel interference for 7 cases of adjacent-channel interference, the calculation complexity of adjacent-channel interference can be significantly reduced, and it is particularly suitable for terminals with limited computing resources such as small portable computers and tablet computers, and can meet the needs of interference coexistence analysis in complex electromagnetic environments or large-scale networks on small computing terminals.

[0004] To solve the above technical problems, the present invention discloses a method for quickly calculating adjacent-channel interference, including the following steps:

[0005] Step 1, determine the adjacent-channel interference case according to the bandwidth overlap situation between the interfering system and the interfered system;

[0006] Step 2, discretize the effective range of adjacent-channel interference to obtain a discretized value data table;

[0007] Step 3, based on the discrete dimensionality reduction method, calculate the adjacent-channel leakage power ratio (ACLR) and the adjacent-channel rejection ratio (ACRR) for the adjacent-channel interference case;

[0008] Step 4, calculate the effective power of adjacent-channel interference according to the ACLR and the ACRR.

[0009] Further, Step 1 includes 7 cases of adjacent-channel interference:

[0010] (1) Case 1: There is no overlap between the filter bandwidth of the interfered system and twice the filter bandwidth of the interfering system, and there is no adjacent frequency interference.

[0011] (2) Case 2: The filter bandwidth of the interfered system overlaps with twice the filter bandwidth of the interfering system;

[0012] (3) Case 3: The filter bandwidth of the interfered system is within twice the filter bandwidth of the interfering system;

[0013] (4) Case 4: The channel of the interfered system is very narrow, and the bandwidth is less than the unit length of frequency separation;

[0014] (5) Case 5: The filter bandwidth of the interfered system partially overlaps with twice and once the filter bandwidth of the interfering system;

[0015] (6) Case 6: The filter bandwidth of the interfered system is within the once filter bandwidth of the interfering system;

[0016] (7) Case 7: The filter bandwidth of the interfered system completely overlaps with the once filter bandwidth of the interfering system and partially overlaps with the twice filter bandwidth.

[0017] Furthermore, the effective range of adjacent frequency interference described in step 2 includes the necessary bandwidth and the out-of-band region. The necessary bandwidth is the necessary bandwidth of the transmitter, that is, the channel bandwidth B; the out-of-band region range is ±0.5B to ±2.5B; the adjacent channel leakage power ratio ACLR is defined as follows:

[0018]

[0019] where g os_tx (f off ) is a function of the interference station transmitter filter gain under ACLR with respect to the frequency offset f off , and the integration limits f ACLR1 and f ACLR2 satisfy:

[0020]

[0021] where f os_fp is the center frequency of the interference station frequency point, f vs_fp is the center frequency of the interfered station frequency point, B os is the channel bandwidth of the interference station, and B vs is the channel bandwidth of the interfered station;

[0022] The adjacent channel rejection ratio ACRR is defined as follows:

[0023]

[0024] where g vs_rx (foff ) is the function of the gain of the interference station transmitting filter under ACRR with respect to the frequency offset f off . P os_tx is the transmitting power of the interference station, and the integration limits f ACRR1 and f ACRR2 satisfy:

[0025]

[0026] Step 2 includes: discretizing the effective range of adjacent-channel interference, dividing it into N equal parts, with each part having an interval of 5B os / N, defining the out-of-band domain boundary N1 = 0, N4 = N + 1; g in formula (23) os_tx (f off ) and g in formula (25) vs_rx (f off ) are stored in the database in the form of discrete functions, taking a value every 5B os / N, respectively represented as {g ti | i = 1, 2, 3…, N + 1} and {g ri | i = 1, 2, 3…, N + 1}, storing the discretized values in the database to obtain a discretized value data table.

[0027] Furthermore, Step 3 includes:

[0028] Step 3.1, determining the summation upper and lower limits for calculating the adjacent-channel leakage power ratio ACLR and the adjacent-channel rejection ratio ACRR;

[0029] Step 3.2, determining which case in Step 1 the adjacent-channel interference belongs to according to the summation upper and lower limits; calculating the adjacent-channel leakage power ratio ACLR and the adjacent-channel rejection ratio ACRR under different adjacent-channel interference cases based on the discrete dimensionality reduction method and the discretized value data table.

[0030] Furthermore, Step 3.1 includes:

[0031] Determining the summation upper and lower limits i ACLR1 and i ACLR2 corresponding to the integration limits f ACLR1 and f ACLR2 in formula (23),

[0032]

[0033] Determining the summation upper and lower limits i ACRR1 and i ACRR2 corresponding to the integration limits f ACRR1 and f ACRR2 in formula (25),

[0034]

[0035] Furthermore, in step 3.2, when i ACLR1 > N4,i ACLR2 < N1 or i ACRR1 > N4,i ACRR2 < N1, it belongs to Case 1, there is no adjacent frequency interference, and both ACLR and ACRR are 0;

[0036] When i ACLR1 ≥ N3 and i ACLR2 ≥ N4 or i ACRR1 ≥ N3 and i ACRR2 ≥ N4, it belongs to Case 2 where the adjacent frequency interference is on the right side of the center frequency of the transmitting frequency point,

[0037]

[0038]

[0039] When i ACLR1 ≤ N1 and i ACLR2 ≤ N2 or i ACRR1 ≤ N1 and i ACRR2 ≤ N2, it belongs to Case 2 where the adjacent frequency interference is on the left side of the center frequency of the transmitting frequency point,

[0040]

[0041]

[0042] Furthermore, in step 3.2, when N1 ≤ i ACLR1 < i ACLR2 ≤ N2, or N3 ≤ i ACLR1 < i ACLR2 ≤ N4, it belongs to Case 3,

[0043]

[0044] When N1 ≤ i ACRR1 < i ACRR2 ≤ N2, or N3 ≤ i ACRR1 < i ACRR2 ≤ N4, it also belongs to Case 3,

[0045]

[0046] When N1 ≤ i ACLR1 = i ACLR2 ≤ N2, or N3 ≤ i ACLR1 = i ACLR2 ≤ N4, it belongs to Case 4,

[0047]

[0048] When N1 ≤ i ACRR1 = i ACRR2 ≤ N2, or N3 ≤ i ACRR1 = i ACRR2 ≤ N4, it also belongs to Case 4,

[0049]

[0050] Furthermore, in Step 3.2, when N2 ≤ i ACLR1 ≤ N3, N3 < i ACLR2 ≤ N4 or N2 ≤ i ACRR1 ≤ N3, N3 < i ACRR2 ≤ N4, it belongs to Case 5 where the adjacent - frequency interference is on the right side of the center frequency of the transmitting frequency point,

[0051]

[0052]

[0053] When N1 ≤ i ACLR1 < N2, N2 ≤ i ACLR2 ≤ N3 or N1 ≤ i ACRR1 < N2, N2 ≤ i ACRR2 ≤ N3, it belongs to Case 5 where the adjacent - frequency interference is on the left side of the center frequency of the transmitting frequency point,

[0054]

[0055]

[0056] Furthermore, in Step 3.2, when N2 ≤ i ACLR1 < i ACLR2 ≤ N3 or N2 ≤ i ACRR1 < i ACRR2 ≤ N3, it belongs to Case 6 where there is no adjacent - frequency interference, and both ACLR and ACRR are 0;

[0057] When N1 ≤ i ACLR1 < N2, N3 < i ACLR2 ≤ N4 or N1 ≤ i ACRR1 < N2, N3 < i ACRR2 ≤ N4, it belongs to Case 7,

[0058]

[0059]

[0060] Furthermore, Step 4 includes: calculating the effective power P of adjacent - frequency interference through formula (30) acl :

[0061] P acl = P os_tx × (ACLR + ACRR) (30).

[0062] Advantageous effects: In view of the above problems, the present invention provides a fast calculation method for adjacent channel interference. This method designs simple algorithms for seven cases of adjacent channel interference respectively by using the method of discrete dimension reduction, significantly reducing the computational complexity of adjacent channel interference. It is particularly suitable for terminals with limited computing resources such as small portable computers and tablet computers, and can meet the needs of interference coexistence analysis of complex electromagnetic environments or large-scale networks on small computing terminals. The technology of the present invention can be applied to the calculation of adjacent channel interference between equipment in electromagnetic environments or large-scale networks, and the adjacent channel interference suppression frequency threshold range can be set according to the calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The following further describes the present invention in detail with reference to the drawings and specific embodiments, and the above and / or other advantages of the present invention will become clearer.

[0064] Figure 1 Schematic diagram of the definition of the out-of-band region

[0065] Figure 2 Schematic diagram of adjacent channel leakage power ratio;

[0066] Figure 3 Schematic diagram of adjacent channel rejection ratio;

[0067] Figure 4 Schematic diagram of the discretization process of the effective range of adjacent channel interference;

[0068] Figure 5 Seven cases of the calculation of the effective power of adjacent channel interference; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0069] The following will describe the embodiments of the present invention with reference to the drawings.

[0070] The frequency-using equipment that generates adjacent channel interference includes two categories: one is the frequency-using equipment whose channel overlaps with the out-of-band region of the channel of the interfered frequency-using equipment; the other is the frequency-using equipment whose out-of-band region overlaps with the channel of the interfered frequency-using equipment. Due to the out-of-band leakage of the transmitting filter of the interference station, which depends on the envelope of the transmitting filter, the generated adjacent channel interference power is adjacent channel leakage; the other part is due to the insufficient adjacent channel rejection of the receiving filter of the interfered station, resulting in adjacent channel power entering the receiver, which depends on the envelope of the receiving filter. Usually, the frequency boundary of the necessary bandwidth and the out-of-band emission region is equal to the necessary bandwidth interval that is 50% away from the center frequency of the necessary bandwidth, and the frequency boundary of the out-of-band region emission is equal to the necessary bandwidth interval that is 250% away from the center frequency of the necessary bandwidth. For most systems, the center frequency of the emission is also the center frequency of the necessary bandwidth.

[0071] In the present invention, the definition of the out-of-band region is as Figure 1 shown. In the figure, B is the necessary bandwidth (channel bandwidth) of the transmitter, and ±0.5B - ±2.5B is the out-of-band region. The effective range of adjacent channel interference is the necessary bandwidth + the out-of-band region.

[0072] The calculation of the effective power of adjacent channel interference considers two parts of interference power. One part is caused by the out-of-band leakage of the transmitting filter of the interfering station, which depends on the envelope of the transmitting filter. The resulting effective interference power is the adjacent channel leakage power. ACLR refers to the adjacent channel leakage power ratio (Adjacent Channel Leakage Ratio, ACLR), which is the ratio of the interference signal power leaked into the adjacent channel to the total power of the interference signal. As Figure 2 shown, the ratio of the area S1 to S2 is the ACLR;

[0073] The definition of ACLR is as follows

[0074]

[0075] where g os_tx (f off ) is a function of the gain of the transmitting filter of the interfering station with respect to the frequency offset f off (unit: MHz). The integration limits f ACLR1 and f ACLR2 satisfy

[0076]

[0077] where f os_fp is the center frequency of the (transmitting) frequency point of the interfering station (unit: MHz), f vs_fp is the center frequency of the (receiving) frequency point of the interfered station (unit: MHz), B os is the channel bandwidth of the interfering station (transmitting) (unit: MHz), and B vs is the channel bandwidth of the interfered station (receiving) (unit: MHz).

[0078] The other part is due to the insufficient adjacent channel rejection of the receiving filter of the interfered station, resulting in the adjacent channel power entering the receiver, which depends on the envelope of the receiving filter. The resulting effective interference power is the adjacent channel rejection power. ACRR is the adjacent channel rejection ratio (Adjacent Channel Rejection Ratio, ACRR), which is the ratio of the attenuation of the adjacent channel signal power by the receiving filter. As Figure 3 shown, the ratio of the area S1 to S2 is the ACRR.

[0079] The definition of ACRR is as follows:

[0080]

[0081] Among them, g vs_rx (f off ) is the function of the gain of the transmitting filter of the interfering station with respect to the frequency offset f off (unit: MHz). P os_tx is the transmitting power of the interfering station, and the integration limits f ACRR1 and f ACRR2 satisfy:

[0082]

[0083] A method for quickly calculating adjacent channel interference provided by the present invention first confirms the effective interference range of adjacent channel interference, and then designs a simple method for calculating the effective interference power of adjacent channels by using the method of discrete dimensionality reduction to calculate the adjacent channel interference under this interference. The method includes the following steps:

[0084] Step 1: Analyze the calculation conditions of adjacent channel interference according to the bandwidth overlap situation between the interfering system and the interfered system, as shown in Figure 5 , and determine the upper and lower limits of interference integration according to which of the following situations the bandwidth overlap belongs to:

[0085] (1) Situation 1: There is no overlap between the filter bandwidth of the interfered system and twice the filter bandwidth of the interfering system, and there is no adjacent channel interference.

[0086] (2) Situation 2: The filter bandwidth of the interfered system overlaps with twice the filter bandwidth of the interfering system;

[0087] (3) Situation 3: The filter bandwidth of the interfered system is within twice the filter bandwidth of the interfering system;

[0088] (4) Situation 4: The channel of the interfered system is very narrow, and the bandwidth is less than the unit length of frequency separation;

[0089] (5) Situation 5: The filter bandwidth of the interfered system partially overlaps with twice and once the filter bandwidth of the interfering system;

[0090] (6) Situation 6: The filter bandwidth of the interfered system is within once the filter bandwidth of the interfering system;

[0091] (7) Situation 7: The filter bandwidth of the interfered system completely overlaps with once the filter bandwidth of the interfering system and partially overlaps with twice the filter bandwidth.

[0092] Step 2: Discretize the effective range of adjacent channel interference to obtain a discretized value data table.

[0093] Discretize the effective range of adjacent channel interference, divide it into N equal parts, and the interval of each equal part is 5B os / N, such asFigure 4 As shown, for the convenience of understanding, the out-of-band domain boundary N1 = 0 is defined. N4 = N + 1.

[0094] In formula (23), g os_tx (f off ) and in formula (25), g vs_rx (f off ) are stored in the database in the form of discrete functions. A value is taken every 5B os / N, which are respectively expressed as {g ti |i = 1, 2, 3…, N + 1} and {g ri |i = 1, 2, 3..., N + 1}. The discretized values are stored in the database to obtain a discretized value data table.

[0095] Step 3: Based on the method of discrete dimensionality reduction, for the case of adjacent channel interference, calculate the adjacent channel leakage power ratio ACLR and the adjacent channel rejection ratio ACRR, including:

[0096] Step 3.1, determine the summation upper and lower limits for calculating the adjacent channel leakage power ratio ACLR and the adjacent channel rejection ratio ACRR, including:

[0097] Determine the integration limits f ACLR1 and f ACLR2 corresponding summation upper and lower limits i ACLR1 and i ACLR2 ,

[0098]

[0099]

[0100] Step 3.2, determine which case in Step 1 the adjacent channel interference belongs to according to the summation upper and lower limits; based on the method of discrete dimensionality reduction and the discretized value data table, calculate the adjacent channel leakage power ratio ACLR and the adjacent channel rejection ratio ACRR under different adjacent channel interference cases.

[0101] (1) Case 1: When i ACLR1 > N4, i ACLR2 < N1 or i ACRR1 > N4, i ACRR2 < N1, there is no adjacent channel interference, and both ACLR and ACRR are 0.

[0102] (2) Case 2:

[0103] When i ACLR1 ≥ N3 and i ACLR2 ≥ N4 or i ACRR1 ≥ N3 and i ACRR2≥N4, the adjacent channel interference is on the right side of the center frequency of the transmitting frequency point,

[0104]

[0105]

[0106] When i ACLR1 ≤N1 and i ACLR2 ≤N2 or i ACRR1 ≤N1 and i ACRR2 ≤N2, the adjacent channel interference is on the left side of the center frequency of the transmitting frequency point,

[0107]

[0108]

[0109] (3) Case 3:

[0110] When N1≤i ACLR1 <i ACLR2 ≤N2, or N3≤i ACLR1 <i ACLR2 ≤N4,

[0111]

[0112] When N1≤i ACRR1 <i ACRR2 ≤N2, or N3≤i ACRR1 <i ACRR2 ≤N4,

[0113]

[0114] (4) Case 4:

[0115] When N1≤i ACLR1 =i ACLR2 ≤N2, or N3≤i ACLR1 =i ACLR2 ≤N4,

[0116]

[0117] When N1≤i ACRR1 =i ACRR2 ≤N2, or N3≤i ACRR1 =i ACRR2 ≤N4,

[0118]

[0119] (5) Case 5:

[0120] When N2≤i ACLR1≤N3, N3 < i ACLR2 ≤N4 or when N2 ≤ i ACRR1 ≤N3, N3 < i ACRR2 ≤N4, adjacent channel interference is on the right side of the center frequency of the transmitting frequency point

[0121]

[0122]

[0123] When N1 ≤ i ACLR1 <N2, N2 ≤ i ACLR2 ≤N3 or N1 ≤ i ACRR1 <N2, N2 ≤ i ACRR2 ≤N3, adjacent channel interference is on the left side of the center frequency of the transmitting frequency point

[0124]

[0125]

[0126] (6) Case 6:

[0127] When N2 ≤ i ACLR1 <i ACLR2 ≤N3 or N2 ≤ i ACRR1 <i ACRR2 ≤N3, there is no adjacent channel interference, and both ACLR and ACRR are 0;

[0128] (7) Case 7:

[0129] When N1 ≤ i ACLR1 <N2, N3 < i ACLR2 ≤N4 or N1 ≤ i ACRR1 <N2, N3 < i ACRR2 ≤N4,

[0130]

[0131]

[0132] Step 4: Based on the ACLR and ALRR calculated in Step 3.2, calculate the effective power of adjacent channel interference through formula (30).

[0133] P acl =P os_tx ×(ACLR + ACRR) (30)

[0134] In specific implementation, the present application provides a computer storage medium and a corresponding data processing unit. Among them, the computer storage medium can store a computer program, and when the computer program is executed by the data processing unit, it can run the inventive content of a method for quickly calculating adjacent-channel interference provided by the present invention and some or all of the steps in each embodiment. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), or the like.

[0135] Those skilled in the art can clearly understand that the technical solutions in the embodiments of the present invention can be implemented by means of a computer program and its corresponding general hardware platform. Based on such an understanding, the technical solutions in the embodiments of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a computer program, that is, a software product. The computer program software product can be stored in a storage medium and includes several instructions for causing a device (which can be a personal computer, a server, a single-chip microcomputer, a MUU, or a network device, etc.) including a data processing unit to execute the methods described in each embodiment or some parts of the embodiments of the present invention.

[0136] The present invention provides a method for quickly calculating adjacent-channel interference. There are many methods and ways to specifically implement this technical solution. The above description is only the specific implementation manner of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention. Each component not clearly defined in this embodiment can be implemented by using the prior art.

Claims

1. A method for quickly calculating adjacent channel interference, characterized in that It includes the following steps: Step 1: Determine the adjacent-channel interference situation according to the bandwidth overlap between the interfering system and the interfered system; Step 2: Discretize the effective range of adjacent-channel interference to obtain a discretized value data table; Step 3: Based on the discrete dimensionality reduction method, calculate the adjacent-channel leakage power ratio (ACLR) and adjacent-channel rejection ratio (ACRR) for the adjacent-channel interference situation; Step 4: Calculate the effective power of adjacent-channel interference according to ACLR and ACRR; The effective range of adjacent-channel interference described in Step 2 includes the necessary bandwidth and the out-of-band region. The necessary bandwidth is the transmitter necessary bandwidth, i.e., the channel bandwidth B. The out-of-band region ranges from ±0.5B to ±2.5B. The adjacent-channel leakage power ratio (ACLR) is defined as follows: where g os_tx (f off ) is the function of the gain of the transmit filter of the interfering station under ACLR with respect to the frequency offset f off , and the integration limits f ACLR1 and f ACLR2 satisfy: Among them, f os_fp is the center frequency of the interfering station frequency point, unit: MHz, f vs_fp is the center frequency of the interfered station frequency point, unit: MHz, B os is the channel bandwidth of the interfering station, unit: MHz, B vs is the channel bandwidth of the interfered station, unit: MHz; The adjacent-channel rejection ratio (ACRR) is defined as follows: where g vs_rx (f off ) is the function of the gain of the interference station emission filter under ACRR with respect to the frequency offset f off ; P ostx is the transmission power of the interference station, and the integration limits f ACRR1 and f ACRR2 satisfy: Step 2 includes: discretizing the effective range of adjacent channel interference, dividing it into N equal parts, with each part having an interval of 5B os / N, defining the out-of-band domain boundary N1 = 0, N4 = N + 1; g in formula (23) os_tx (f off ) and g in formula (25) vs_rx (f off ) are stored in the database in the form of discrete functions, taking a value every 5B os / N, respectively represented as {g ti |i = 1, 2, 3…, N + 1} and {g ri |i = 1, 2, 3…, N + 1}, storing the discretized values in the database to obtain a discretized value data table; Step 3 includes: Step 3.1: Determine the summation upper and lower limits for calculating the adjacent-channel leakage power ratio (ACLR) and adjacent-channel rejection ratio (ACRR); Step 3.2: Determine which situation in Step 1 the adjacent-channel interference belongs to according to the summation upper and lower limits; Based on the discrete dimensionality reduction method and the discretized value data table, calculate the adjacent-channel leakage power ratio (ACLR) and adjacent-channel rejection ratio (ACRR) for different adjacent-channel interference situations; Step 3.1 includes: Determine the integration limits \(f\) in formula (23) ACLR1 and \(f\) ACLR2 corresponding summation upper and lower indices \(i\) ACLR1 and \(i\) ACLR2 , Determine the integration limits \(f\) in formula (25) ACRR1 and \(f\) ACRR2 corresponding summation upper and lower indices \(i\) ACRR1 and \(i\) ACRR2 , In step 3.2, when i ACLR1 > N4, i ACLR2 < N1 or i ACRR1 > N4, i ACRR2 < N1, it belongs to case 1, there is no adjacent channel interference, and both ACLR and ACRR are 0; When i ACLR1 ≥ N3 and i ACLR2 ≥ N4 or i ACRR1 ≥ N3 and i ACRR2 ≥ N4, the adjacent-channel interference in Case 2 is on the right side of the center frequency of the transmitting frequency point When i ACLR1 ≤ N1 and i ACLR2 ≤ N2 or i ACRR1 ≤ N1 and i ACRR2 ≤ N2, the adjacent channel interference in Case 2 is on the left side of the center frequency of the transmitting frequency point In step 3.2, when N1≤i ACLR1 <i ACLR2 ≤N2, or N3≤i ACLR1 <i ACLR2 ≤N4, it belongs to case 3 When N1 ≤ i ACRR1 <i ACRR2 ≤ N2, or N3 ≤ i ACRR1 <i ACRR2 ≤ N4, it also belongs to Case 3 When N1 ≤ i ACLR1 = i ACLR2 ≤ N2, or N3 ≤ i ACLR1 = i ACLR2 ≤ N4, it belongs to Case 4 When N1 ≤ i ACRR1 = i ACRR2 ≤ N2, or N3 ≤ i ACRR1 = i ACRR2 ≤ N4, it also belongs to Case 4 In step 3.2, when N2 ≤ i ACLR1 ≤ N3, N3 < i ACLR2 ≤ N4 or N2 ≤ i ACRR1 ≤ N3, N3 < i ACRR2 ≤ N4, the adjacent channel interference in case 5 is on the right side of the center frequency of the transmitting frequency point When N1 ≤ i ACLR1 <N2, N2 ≤ i ACLR2 ≤ N3 or N1 ≤ i ACRR1 <N2, N2 ≤ i ACRR2 ≤ N3, the adjacent-channel interference in Case 5 is on the left side of the center frequency of the transmitting frequency point In step 3.2, when N2 ≤ i ACLR1 <i ACLR2 ≤ N3 or N2 ≤ i ACRR1 <i ACRR2 ≤ N3, it belongs to case 6, there is no adjacent channel interference, and both ACLR and ACRR are 0; When N1 ≤ i ACLR1 <N2, N3 < i ACLR2 ≤ N4 or N1 ≤ i ACRR1 <N2, N3 < i ACRR2 ≤ N4, belonging to Case 7 2. The fast calculation method for adjacent channel interference according to claim 1, characterized in that Step 1 includes 7 adjacent-channel interference situations: (1) Situation 1: There is no overlap between the filter bandwidth of the interfered system and twice the filter bandwidth of the interfering system, and there is no adjacent-channel interference; (2) Situation 2: The filter bandwidth of the interfered system overlaps with twice the filter bandwidth of the interfering system; (3) Situation 3: The filter bandwidth of the interfered system is within twice the filter bandwidth of the interfering system; (4) Situation 4: The channel of the interfered system is very narrow, and the bandwidth is less than the unit length of frequency separation; (5) Situation 5: The filter bandwidth of the interfered system partially overlaps with twice and once the filter bandwidth of the interfering system; (6) Situation 6: The filter bandwidth of the interfered system is within once the filter bandwidth of the interfering system; (7) Situation 7: The filter bandwidth of the interfered system completely overlaps with once the filter bandwidth of the interfering system and partially overlaps with twice the filter bandwidth.

3. A method for quickly calculating adjacent channel interference according to claim 1, characterized in that Step 4 includes: calculating the effective co-channel interference power P through formula (30) acl :[[]]END]] P acl = P os_tx × (ACLR + ACRR) (30).

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