Method for gate identification of signals with radio-frequency sources in multi-target environment

FIELD: radio engineering, communication.

SUBSTANCE: electronic surveillance system calculates estimates X ^ j , i ( k ) of status coordinates of detected and tracked radio-frequency sources, based on which results of measuring coordinates Xin,i(k), obtained at the k-th moment in time, are identified with the corresponding radio-frequency sources, wherein for each status coordinate of each detected and tracked radio-frequency source, the method includes determining an interval of values which depends on variance of measurement of Xin,i(k), the variance of the rate of measuring status coordinates X ˙ j , i ( k ) , as well as the coefficient of proportionality K, the value of which is selected in the range of 1 to 2. The set of intervals on all status coordinates of each radio-frequency source forms a multidimensional gate, where if the measurement result of the status vector Xin(k) at the k-th moment in time falls in said gate, the result is identified with, for example, a specific radio-frequency source. If the measured vector Xin(k) does not fall within any of the gates of the j-th radio-frequency source, where j = 1, N ¯ , a new radio-frequency source with an index N+1 is detected.

EFFECT: high reliability of identifying signals in a multi-target environment.

2 dwg

 

The invention relates to radar systems and can be used to improve the accuracy of the positioning (MP) and other parameters of the terrestrial sources of radio emission (IRI) by means of systems of electronic intelligence (SRTR).

Expected high saturation areas of military action IRI for different purposes creates a complex (multi-purpose) electronic environment and determines for SRTR the basic need of the following tasks:

- identify Iran on the types, instances, and tactical purposes;

- support detected IRI for all relevant information parameters: carrier frequency, the repetition period (repetition period) and duration of pulses, the width of the signal spectrum, location, etc.

The urgency of solving these problems is due, in particular, the need to assess threats ranking IRI by importance and issue commands targeting, for example, anti-radar missiles to defeat the most dangerous targets. It should be emphasized that the successful solution of these tasks in multi-task environment depends largely on the ability SRTR to identify received signals with specific instances of the IRI, which determines the potential for reliable support.

Here, under the identification signal�refers to the process in one-to-one reconciliation of the received signals to specific instances of Iran, at the multipurpose environment. The process of correct identification of signals does not cause significant difficulties, if the signals received from different IRI, have stable differences of the numerical values of radio parameters. Otherwise, when the surveillance area is somewhat similar to Iran, the probability of erroneous identification of their signals increases dramatically.

In [1, 2] presents methods of identification used in on-Board direction-finding systems for processing the measured azimuths of the IRI. Among them is most often used so-called "areal" method, which is considered as a prototype.

"Areal" method of identifying an azimuthal bearing is illustrated Fig. 1. It is assumed that at points x1, x2, x3that ... is measured bearings, for example, α1, β1α2, β2α3, β3... on the IRI and the IRI "B" respectively. Thus the point of intersection of the bearing, measured at different points on the same IRI, is grouped within small areas called trust areas (BEFORE) and with a given confidence probability PDovinclude point MP true of Iran. The point of intersection of the bearing, measured at different IRI, distributed over a relatively large area and not grouped tightly. Pele�GI intersecting within TO, identified with the IRI to which this area belongs. The point of intersection of the bearings from outside TO determine the location of the false (non-existent) IRI.

The disadvantage of "areal" method is the inability to handle other parameters of the received signals (except bearings), and joint processing of several different parameters.

Following will be offered a more rational criterion, the accuracy - computational cost" method of identification of the received signals with specific instances found (and followed) the IRI in a multipurpose environment, based on the use of multidimensional gates (confidence regions) measured on the phase coordinates (parameters). This will rely that the following conditions are true:

1) SRTR intended to evaluate n state coordinates of the IRI, are combined in the vector

each of the N radiation sources with appropriate dimensions

2) from Iran arrive at SRTR in the General case, not simultaneously, and the measurement results are determined by the model

where k is the number of discrete-time ξj,i(k) - centered uncorrelated Gaussian noises with known disper�iy D j,i(k) in the k-th moment of time;

3) evaluationX^j,i(k)coordinate the status of all detected IRI are well-known and received at the k-th moment of time according to the results of previous measurements.

In the process of developing the proposed method of identification is necessary to solve two problems:

1) to determine the size of the gates, guaranteeing the required level of reliability of identification;

2) to formulate a decision rule about the ownership of obtained measurements of specific IRI.

When addressing these challenges will rely on that for a time equal to Δt (k)=tk-tk-1, coordinates (1) the state of Iran's change in law

whereXj,i(k1)- the rate of change of the estimated parameter.

Then taking into account (3) and (4) the increment of measurement and its variance over the interval Δt (k) will be determined expressions, respectively [3]

where- the variance of the rate of change of parameters [3].

The estuaries�ü it should be noted, that the numerical values ofcan be determined according to the rulearising from the relationFor most parameters, surface fixed (sedentary) IRI that is not dependent on displacement of the aircraft carrier SRTR, you can put

Since the process (3) is Gaussian, then all increments (5) shall, with probability 0,997 to fall within a range

The size of the gate ΔXj,i(k)maxfor the j-th IRI for i-th measured phase coordinate must satisfy the condition

where K=1...2 ensures that the condition (8) with a predetermined probability P=0,68...to 0.95, a Dj,i(k) is the variance of measurement noise ΔXj,i(k)max.

The expression (8) defines the dimensions of the gate for each of the j-th IRI for each i-th phase coordinate, and determines the use of the following rules of decision making about the identification. If all measurements XJohn,i(k) belonging to the k-th moment of the unknown instance Iran, satisfy the condition

the decision about their identification with the phase coordinates of the j-th IRI. The result of identification is represented as a vector Xj*(k)=Xin. �ere X j*(k)=[Xj*,1(k), Xj*,2(k), ..., Xj*i(k), ..., Xj*,i(k)], and Xin(k)=[XJn,1(k), XJn,2(k), ..., XJohn,i(k), ..., XJohn,i(k)], where j* is the index of the IRI, which identified the measured parameter vector Xin(k). If the condition (9) is not fulfilled at least one of the n coordinates, then the fulfillment of this condition for the next instance followed by the IRI in accordance with the expression

and so on for all the detected (followed by) Iran. If the conditions (9), (10) are not met for any of the detected (followed by) the copies of the IRI, the decision about the discovery of a new IRI, i.e., j*=N+1.

Fig. 2 shows a simplified block diagram of one of possible variants of the system that implements the proposed method stranovogo of identification bearing the IRI in a multipurpose environment. The system includes n-channel measuring parameters of the received signals (And) 3, the unit of comparison (RD) 4, and onboard computer systems (UAS) 5. The received signals arrive at the meter And forming in each k-th time the results of XJohn,i(k), served on a MUSTACHE, and also in UAS that calculates, in accordance with (8) the dimensions of the gates ΔXj,i(k)max. In this case, the location information SRTR and speed of its movement comes from n�navigation system, andX^j,i(k)from the evaluation of the state coordinates of the IRI. The coordinates of the MP and the coordinates of state also serves on the CONDITION that implements the algorithm defined by the expressions (9), (10). The results of this comparison a decision is made about the ownership of the received signals corresponding j*-m IRI or about discovering new IRI cj*=N+1.

Implementation of the above method will improve the accuracy of the identification signals in multi-task environment and thus provide a qualitative determination of the location of detected IRI and reliable support.

LITERATURE

1. Melnikov, Yu. p. Aerial electronic reconnaissance (methods of evaluating the effectiveness). M.: Radio Engineering, 2005.

2. Melnikov Yu., Popov S. V. Electronic reconnaissance. Methods of evaluating the effectiveness of locating sources of radiation. M.: Radio Engineering, 2008.

3. Tikhonov V. I. Statistical radio engineering. 2nd ed., revised and enlarged extra-M.: Radio and communication, 1982.

Method stranovogo identification signals from sources of radio emission (IRI) in multi-task environment, namely that the electronic intelligence system calculates estimates i-the x coordinate of state j-x detected and tracked IRI, on the basis of which is the identification of the measurement results of the state coordinates of XJohn,i(k) obtained in the k-th moment of time, with the corresponding IRI, characterized in that for each i-th coordinates of the status of each j-th detected and tracked the IRI is determined by the interval of values

where ΔXj,i(k)max- the size of the gate to the j-th IRI for i-th measured coordinate state;
K - coefficient of proportionality whose value is selected in the range from 1 to 2 for the implementation of (1) with a predetermined probability;
- the variance of the rate of change of state coordinates
Δt(k)=tk-tk-1- discrete-time;
Dj,i(k) is the variance of measured value Xj,i(k);
as well as a set of intervals over all the coordinates of the status of each IRI forms a multidimensional gate, when hit in which the result of measurement of the state vector Xin(k) in the k-th time point is identified with a specific IRI, in this case, if the measured vector Xin(k) is not hit within any of the gates of the j-th IRI, wherethe decision about the detection of new sources with index N+1.



 

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