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1.INTRODUCTIONThe article presents performances of a broadband radio station operating in the UHF range (225 – 400 MHz) and selected measure results of the co-site operation of a broadband radio in the presence of strong interference. The measure results were used to analyze the impact of a strong interference signal from a co-site radio on the useful communication range. For calculating the level of the interfering signal and the admissible level of the interfering signal the Longley – Rice radio frequency attenuation model was used[2]. 2.LONGLEY–RICE PATH ATTENUATION MODELPath attenuation is dependent on many variables and has been a subject of long-term research that has led to the development of numerous models of radio path attenuation, varying in complexity and scope of application[3]. Some examples of models can be seen in Table 1. The basic requirement for the radiocommunication planning system is to determine with high accuracy the value of useful and interfering signal levels at the signal reception site. For this purpose, it is necessary to know reliable radio path attenuation models taking into account a number of parameters. Table 1.Parameters of various radio path attenuation models.
Different models determine the attenuation parameter for different frequency bands and geometry of the radio paths with different precision. The simplest models of RF path attenuation include a minimum set of parameters, e.g. distance and frequency, which is why they are not accurate. More precise models require additional consideration of relatively numerous constant and variable parameters that result from the type of the substrate, its topography and coverage, the state of the atmosphere (including humidity, pressure and temperature) and the height of the antennas suspension. Using the L-R model to determine path attenuation allows to include terrain profiles. This model works correctly for the following parameters:
To determine the path attenuation (Lcr) the wave attenuation in free space (Lbf) is calculated, which is increased by the reference attenuation (Acr) calculated on the basis of the actual or statistical field profile: The path attenuation in free space expressed in dB is given by the formula: The calculation Acr is definitely more complex. Three methods are used to correspond to various propagation phenomena, which have the greatest significance depending on the distance between the transmitter and receiver:
Here go1 and go2 represent the directive gain for each antenna in the direction of the other, while 2πΔr/λ is the path length difference between direct and ground-reflected rays, expressed in electrical radians and in degrees. Re is the magnitude of an effective reflection coefficient and c is its phase relative to π radians. Assuming matched polarizations, the median path antenna gain may be approximated as Gp
Where: experimentally determined coefficient w is defined as: For low antennas with known path parameters C = 10. Otherwise C = 0. In the considerations, we will mainly use the relation (3) to determine the level of the interfering signal and the required level of the useful signal. 3.RESULTS OF EXPERIMENTAL TESTSFirst, the measurement of the isolation between two spatially separated antennas of co-site work for four different distances (3 to 6 m) was taken to check the actual damping between antennas. The measurements were performed in accordance with the research methodology from “Report ITU-R M.2244(11/2011) Isolation between antennas of IMT base stations in the land mobile service”[4]. The tests were carried out in an anechoic chamber. Figure 1 below illustrates the antenna isolation testing scheme The measure results of antennas isolation in co-site conditions are presented in Figure 2 and average antenna isolation in co-site conditions in Table 2. Table 2.Averaged antennas insolation
Having done the antenna isolation measurements, proper research was carried out, which the goal was to determine the minimum level of the useful signal (relation R1 - R3) in case of strong interference (radio station R2). The transmission was carried out using the following parameters BPSK modulations, 1 MHz channel width, FEC ½ Błąd! Nie można odnaleźć źródła odwołania.. The measuring system is shown in the Figure 3: The measurement system scheme is a simplified version of the actual measurement system because it does not represent its complexity. The actual measurement system is shown in the Figure 4. The level of the interfering signal at the antenna input of the receiving radio (R1) was 15 dBm (43 dBm - 28 dB) = 15 dBm (this corresponds to a distance between co-site antennas of 3 meters) for frequency of the R2 Radio frequency R1 - R3 was shifted from radio frequency R2 every 1 MHz after each measurement. The following measurement results were obtained (Table 3): Table 3.Measurement results for a solution with two pre-selectors, a strong interference signal with a constant level and frequency of 300 MHz at the input of the R1 receiver Measurement results for a strong constant interference signal and frequency of 300 MHz at the input of the R1 receiver
The graph below shows the RSSI signal strength level as a function of frequency (Figure 5): In the case of a co-site relations, the use of preselectors allows the required separation in the frequency domain to be reduced to 15 MHz to avoid interference from co-site radios (the distance between the antennas is 3 meters, and the interference radio operates with a maximum power of 20 W (43 dBm)). The usable signal level required is -81 dBm. Radio communication networks can work at different operating ranges (distances between correspondents in a radio network). If the network operates on a small area then there is no need to ensure operation at the sensitivity level of the radio. The simulation was performed using Matlab simulation software and Antenna Toolbox. After the measurement of the co-site work, a simulation of attenuation path in free space was performed using the L-R radio attenuation model showing the possible maximum distances between the radio correspondents of a given radio network at a specified level of the interfering signal. With this software electromagnetic field strength maps for a transmitter operating at 20 Watt was shown. The Figure 6 shows the value of the electromagnetic field strength when operating at of 292 MHz frequency. The distance between the transmitter and receiver is 450 meters. RSSI value is -40 dBm. The Figure 7 the operating frequency was 285 MHz, and the distance between the transmitter and receiver was 6550 meters. The RSSI value is approx. -100 dBm. The table below (Table 4) presents calculations by using the L-R radio attenuation model showing the possible maximum distances between radio correspondents of a given radio network at a given level of the interfering signal. The L-R model works correctly for ranges 1 - 2000 km, so for ranges less than 1 km, free-space path loss was used. Table 4.Calculations by using the L-R radio attenuation model
4.SUMMARYThe revealing deficits of spectral resources cause problems with the allocation of radio frequencies, especially on broadband radio stations[5]. This phenomenon is particularly important when co-site relation occurs. The article presents the results of an experimental research on antenna isolation allowing attenuation between antennas for co-site relation. Tests were carried out to measure the impact of the interference in co-operation on a broadband radio using preselectors. The article shows the results of insulation tests of antennas that allow dampening between antennas for co-site relations. The measurements presented show that it is sufficient to provide a separation of 15 MHz to avoid interference from the co-site radio station. It is possible to provide less separation in the frequency range, for example, 12 MHz, but then the maximum radio station distance on the network must not be greater than 3.28 km. The measurements received and calculated on the basis of their maximum operating distances on the radio network are very important for people planning radio communication and should be included in frequency allocation algorithms. This will allow for optimal allocation of spectral resources in the case of frequency set limitation. REFERENCESMatyszkiel, R., Polak, R., Lubkowski, P., Laskowski, D.,
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