Radiation source detection and measurement integrated device

Abstract

The present invention discloses an integrated device for detecting and interfering with radiation sources, and relates to the field of electronic countermeasure technology. The present invention includes an antenna array element, a receiver, a local oscillator, a signal processor, an interface module, a data processor, and a power module. The interface module is used to control and connect the receiver, the signal processor, the local oscillator, and the data processor, and to power the receiver, the signal processor, the local oscillator, and the data processor through the power module. The antenna array element is used to receive signals and transmit the signals to the receiver. The receiver is used to receive the signals and select the frequency components needed from a large number of electromagnetic waves. The present invention is an integrated device for detecting and interfering with radiation sources. Through the cooperation of the overall device, the external radiation source can be processed in segments, so that accurate frequency measurement and direction measurement can be performed, the angle of the target relative to itself can be locked, and the detection accuracy of the target can be improved.

Description

Technical Field

[0001] The invention relates to the technical field of electronic countermeasures, and in particular to an integrated device for detecting and measuring radiation sources. Background Art

[0002] Electronic countermeasures are also called electronic warfare and electromagnetic spectrum warfare. This theory originates from actual combat, develops from actual combat, and serves actual combat. With the continuous advancement of modern science and technology and the continuous evolution of war forms, the theory of electronic countermeasures has been constantly given new connotations.

[0003] In modern warfare, seizing control of the electromagnetic spectrum has become a key factor in determining the outcome of a war. Take anti-radiation drones as an example. As an important means of anti-radiation attack, anti-radiation drones provide important products for anti-radiation attack with their excellent long-term cruising, real-time attack, deep strike and saturation attack capabilities. As anti-radiation drones will further improve their range, stealth performance, precision strike capability, penetration performance and other combat capabilities in the future, they will contribute more to the future battle for control of the battlefield electromagnetic spectrum.

[0004] From intelligent electronic pods to a variety of active jammers in the air, they all emit complex and changeable noise frequency modulation, composite frequency modulation, agile frequency modulation, frequency staggered, polarization agile, and frequency hopping signals, all of which make it difficult for the seeker to intercept the target signal.

[0005] Currently on the market, when traditional integrated radiation source detection devices are used, they usually send the radiation source signal received by the antenna to the receiver through wires, so that the receiver can select the frequency components it needs from the many signals in the air, suppress or filter out unnecessary signals or noise and interference signals, and then obtain the original useful information through amplification and demodulation.

[0006] However, when the receiver of the integrated radiation source detection and interference measurement device receives the radiation source signal, it is seldom possible to perform segmented reception and processing of the radiation source signal according to the signal frequency, which makes it time-consuming and error-prone for the receiver to process the signal, and easily causes inaccurate frequency and direction measurement results, thereby affecting the interference to the radiation source. For this reason, an integrated radiation source detection and interference measurement device is proposed. Summary of the invention

[0007] The main purpose of the present invention is to provide an integrated device for detecting and measuring radiation sources, which can effectively solve the problem that the receiver of the existing integrated device for detecting and measuring radiation sources in the background technology is rarely able to perform segmented receiving and processing of the radiation source signal according to the signal frequency when receiving the radiation source signal, which makes the receiver take a long time to process the signal and has large errors, which easily leads to inaccurate frequency and direction measurement results, thereby affecting the interference with the radiation source.

[0008] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is as follows: the radiation source interference detection integrated device includes an antenna array element, a receiver, a local oscillator, a signal processor, an interface module, a data processor and a power module, the interface module is used to control the connection between the receiver, the signal processor, the local oscillator and the data processor, and to power the receiver, the signal processor, the local oscillator and the data processor through the power module, the external socket type of the interface module is J30J-15ZK (including 4 cores for power supply, 4 cores for ground, 2 cores for LVDS second synchronization pulse, 2 cores for receiving RS422 serial port, and 2 cores for sending RS422 serial port), wherein the LVDS second synchronization pulse The impulse can complete the time value recovery, using differential low-jitter LVDS devices, the receiving serial port contains latitude and longitude, time, roll angle, pitch angle, heading angle, acceleration, jerk, external guidance target frequency value, pitch angle, azimuth, target normalized power value (used for external guidance), the sending serial port: tracking target frequency value, pitch angle, azimuth, target normalized power value, target distance value, tracking target geocentric coordinate system value (B, L, H) (the tracking target geocentric coordinate value is the value after Kalman filtering, and the tracking target is locked after the power is turned off, and the tracking computer calculates the target pitch angle, azimuth, and distance value according to the memorized target value);

[0009] The antenna array element is used to receive signals and transmit the signals to a receiver;

[0010] The receiver is used to receive the signal, suppress or filter the signal, then amplify and demodulate it, and then transmit the processed information to the signal processor. The receiver includes a broadband reconnaissance receiver, a directional reconnaissance receiver and a narrowband analysis receiver. The broadband reconnaissance receiver includes a high-frequency band processing module and a low-frequency band processing module.

[0011] The processing steps of the low frequency band processing module (as shown in the attached Figure 2 shown) include:

[0012] A1. The broadband detection receiver receives signals with a frequency of 0.8 to 6 GHz;

[0013] A2. Input a signal in the range of -105dBm to +15dBm into the received signal to obtain a first signal;

[0014] A3. The first signal is limited to a certain range through a limiter, and the frequencies outside the frequency point are effectively filtered out through a low-pass filter to obtain a signal with a specific frequency;

[0015] A4. The specific frequency signal is distributed into a second signal of -105dBm to -55dBm and a third signal of -55dBm to +15dBm through a two-way power divider;

[0016] S5. The second signal is amplified by three amplifiers, and the amplitude of the second signal is amplified to -50dBm~0dBm and then sent to the signal processor;

[0017] A6. The third signal is directly passed through the limiter and the low-pass filter to form a -60dBm to +10dBm signal, which is directly transmitted to the signal processor;

[0018] The processing steps of the high frequency band processing module (as shown in the attached Figure 3 shown) include:

[0019] B1. The broadband receiver receives signals with a frequency of 6-20 GHz;

[0020] B2. The received input amplitude range is -105dBm to +15dBm, and the signal amplitude is limited to a certain range by a limiter to form a first signal;

[0021] B3. The first signal is distributed through two power dividers into a second signal with a signal of -110dBm to -60dBm and another third signal with a signal of -60dBm to +10dBm;

[0022] B4. Mixing the second signal with the local oscillator signal after passing through the low noise amplifier module to form a fourth signal;

[0023] B5. After the fourth signal is amplified by three amplifiers with a total gain of 60dB, a -50dBm~0dBm signal is generated by a low-pass filter and sent to the signal processor;

[0024] B6. The third signal is directly down-mixed with the local oscillator signal and then passed through a low-pass filter to generate a -70dBm to 0dBm signal and send it to the signal processor;

[0025] The signal processor performs signal sorting, identification, radiation source detection and threat discrimination on the detected radiation source, and performs data processing through the data processing module of the data processor, and forms an angle deviation command signal to control the flight route of the anti-radiation missile. The signal processor includes a low-frequency signal processing module and a high-frequency signal processing module, wherein the specific steps of pre-sorting the radiation source signal are as follows:

[0026] S1: If the signal source contains pulse arrival angle information, pulse thinning is performed based on the pulse arrival angle;

[0027] S2: Radar radiation source signals from multiple directions are input to the DBSCAN clustering algorithm in parallel, and the input signal data includes frequency sequence and pulse width sequence; the specific algorithm is as follows:

[0028] S2.1. Initialize the number of cluster categories k = 0, initialize the untraversed set Γ = 0, and initialize the main sample set Initialize category division

[0029] S2.2, traverse all samples and calculate the main object using the following process;

[0030] a) Statistics and current sample x j The neighborhood subsample set N∈(x j );

[0031] b) Determine whether the number of samples contained in the neighborhood satisfies |N∈(x j )|≥MinPts, if satisfied, the current sample x j Determine it as the main sample and add it to the main sample set Ω=Ω∪{x j};

[0032] S2.3, determine whether the main sample set is empty, that is If it is empty, the algorithm process is exited, otherwise it goes to step S2.4;

[0033] S2.4, randomly select an element from the main sample object set Ω, and increment the sequence number of the current category, initialize the cluster sample set, initialize the main sample queue, and update the unvisited sample set;

[0034] S2.5, determine the current cluster core object queue size, if Then determine the cluster C k The generation is completed, and the cluster division is updated C = {C1, C2, ... C k}, and update the core object set at the same timeΩ=Ω-C k , then go to step S2.3, on the contrary, update the core object set Ω = Ω - C k ;

[0035] S2.6. For the current cluster core object queue Ω cur , select a core object o′ and its ε-neighborhood subsample set, let Δ=N∈(o)∩Γ, update the unvisited sample set, that is, Γ=Γ-Δ, update the current cluster sample set, that is, C k =C k ∪Δ, and update Ω cur =Ω cur ∪(Δ∩Ω)-o′, then proceed to step S2.5;

[0036] S3: According to the clustering results of the DBSCAN algorithm, the noise interference pulses are eliminated to obtain the radar radiation source signal pre-sorting results.

[0037] Preferably, the broadband detection receiver estimates the frequency of the radar radiation signal, the direction detection receiver detects the direction of the incoming wave of the radar radiation source, and the narrowband analysis receiver performs spectrum analysis on the pulse signal radiated by the radar to obtain the spectrum information of the pulse signal.

[0038] Preferably, the broadband reconnaissance receiver comprises a high frequency band processing module and a low frequency band processing module.

[0039] Preferably, the frequency source of the local oscillator is used to generate a local oscillator signal and a signal processing board clock signal.

[0040] Preferably, the local oscillator is used to generate a high-frequency constant-amplitude sinusoidal wave signal with an intermediate frequency higher than the received signal, and inject this oscillation signal into the mixer to obtain an intermediate frequency signal after mixing with the high-frequency television signal.

[0041] Preferably, the data processing machine main chip is a XILINX programmable SOC chip ZYNQ XC7Z035-FFG676-2I, which integrates an ARM A9 dual-core CPU, 275K programmable logic units, and has both hardware programming and software programming functions.

[0042] Preferably, the power module is used to convert the 12V power supplied by the battery into linear output energy suitable for the signal processor, the data processing module, the receiver and the local oscillator.

[0043] Preferably, the local oscillator signal generating step (as shown in the attached Figure 4 shown) include:

[0044] C1. Use a high phase noise 100MHz crystal oscillator to generate three 100MHz signals through a low-pass filter and a power divider;

[0045] C2. Use one of the 100MHz signals after the three-way power divider to generate a 500MHz signal by five-fold frequency multiplication;

[0046] C3. Filter and amplify the 500MHz signal and then multiply it by ten times to generate a 5GHz signal;

[0047] C4. After filtering and amplifying the 5GHz signal, it is sent to the SP3T switch, which is switched on to generate 5GHz, 10GHz, and 15GHz signals through direct, double, and triple frequency respectively;

[0048] C5. Select different local oscillator signals to mix the received signal down to the working frequency band of the signal processor;

[0049] C6. The other two 100MHz signals are directly sent out as clock signals for the signal processor after filtering and power division.

[0050] Preferably, the antenna array element is divided into four quadrants, each quadrant is divided into a high frequency band and a low frequency band part, and outputs to the low frequency band processing module and the high frequency band processing module of broadband detection and reception respectively through 8-way SMP.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] 1. In the present invention, by setting a low-frequency band processing module and a high-frequency band processing module of a broadband detection receiver, it is possible to search for spatial radio frequency signals, so that the low-frequency band processing module samples and searches the input 8-channel signals, adjusts the internal search local oscillator of AD9361, uses 50MHz for each channel between four AD9361s, performs FFT processing on 65536 points of data each time, and sets the output data rate of AD9361 to 50MHz. It is calculated that the search time for each 200MHz (4 quadrants are processed simultaneously, and each quadrant processes 50MHz) is 1.3ms, and the search time for the low-frequency band from 800M to 6G is 34ms; the high-frequency band processing module samples and searches the input 8-channel signals, adjusts AD9 The internal search local oscillator of 361 cooperates with the multi-frequency local oscillator module to switch the local oscillator. The four AD9361s use an equal interval of 50MHz each. 16384 points of data are processed by FFT each time. Since the high-frequency antenna has a gain 6-8dB higher than the low-frequency antenna, in order to ensure the frequency search time, the FFT points can be reduced to 32768 points. The output data rate of AD9361 is set to 50MHz. The search time for every 200MHz (4 quadrants are processed simultaneously) is calculated to be 0.64ms, and the search time for the high-frequency band 6G to 18G is 38.4ms. Since the high-frequency band processing module and the low-frequency band processing module work at the same time, the time to complete the full-band search is 38.4ms, which can quickly test the target frequency.

[0053] 2. The present invention obtains the target frequency through the frequency measurement process, determines whether the tracking target stays in the high frequency band (6G-18G) or the low frequency band (0.8G-6G), adjusts the local oscillator output frequency and the internal local oscillator frequency of AD9361 to be consistent with the tracking target frequency, and first achieves frequency alignment. At the same time, it determines whether the target amplitude appears in the high-gain AD channel or the low-gain AD channel, locks 4 channels out of the 8 channels, and processes the AD data of the 4 channels. Perform signal analysis based on the AD data, if it is a broadband signal, perform time-frequency filtering, perform autocorrelation processing on the signal, and improve the signal-to-noise ratio of the 4 channels. If it is a narrowband pulse signal, perform high-order narrowband digital filter processing to reduce noise and improve the signal-to-noise ratio.

[0054] 3. In the present invention, by setting a signal processor, after the signal processing module receives target angle information, frequency measurement results, target transmission waveform and repetition period and other target parameters, it can lock the angle of the target relative to itself according to the target angle information and its own inertial navigation information. And record this value, when the next signal processing result arrives, the position of the target is locked by using two changes in its own position and the angle of the locked target, and the target position is recorded after the coordinate conversion. As the signal processing continuously sends the target information, the data processor performs N-order Kalman filtering to improve the detection accuracy of the target, and the data processor coordinates record the target coordinates to prevent the target from losing the target when the target is shut down and silent, and form an angle deviation command signal to control the flight route of the anti-radiation missile.

[0055] 4. The overall devices in the present invention cooperate with each other to perform segmented signal processing on external radiation sources, thereby being able to perform accurate frequency and direction measurement, lock the angle of the target relative to itself, and improve the detection accuracy of the target. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 This is a system module diagram of the integrated device for detecting and measuring radiation sources of the present invention;

[0057] Figure 2 This is a working block diagram of the low-frequency band processing module of the integrated device for detecting and measuring radiation sources of the present invention;

[0058] Figure 3 This is a working block diagram of the high frequency band processing module of the integrated device for detecting and measuring radiation sources of the present invention;

[0059] Figure 4 This is a working block diagram of the local oscillator frequency source of the integrated device for detecting and measuring radiation sources of the present invention;

[0060] Figure 5 This is a block diagram of the digital down-conversion principle of the integrated device for detecting and measuring radiation sources of the present invention;

[0061] Figure 6 It is a system block diagram of the DBSCAN clustering algorithm of the integrated device for detecting and measuring radiation sources in the present invention. DETAILED DESCRIPTION

[0062] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0063] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0064] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] Please refer to Figure 1 As shown in FIG. 6 , the present invention is an integrated device for detecting and measuring radiation source interference, including an antenna array element, a receiver, a local oscillator, a signal processor, an interface module, a data processor and a power module. The interface module is used to control and connect the receiver, the signal processor, the local oscillator and the data processor, and to power the receiver, the signal processor, the local oscillator and the data processor through the power module. The external socket type of the interface module is J30J-15ZK (including 4 cores for power supply, 4 cores for ground, 2 cores for LVDS second synchronization pulse, 2 cores for receiving RS422 serial port, and 2 cores for sending RS422 serial port), wherein the LVDS second synchronization pulse can complete the time Value recovery, using differential low-jitter LVDS devices, the receiving serial port contains latitude and longitude, time, roll angle, pitch angle, heading angle, acceleration, jerk, external guidance target frequency value, pitch angle, azimuth, target normalized power value (used for external guidance), sending serial port: tracking target frequency value, pitch angle, azimuth, target normalized power value, target distance value, tracking target geocentric coordinate system value (B, L, H) (the tracking target geocentric coordinate value is the value after Kalman filtering, and the tracking target is locked after the power is turned off, and the tracking computer calculates the target pitch angle, azimuth, and distance value according to the memorized target value);

[0066] The antenna array element is used to receive the signal and transmit the signal to the receiver;

[0067] The receiver is used to receive the signal, suppress or filter the signal, and then transmit the processed information to the signal processor after amplification and demodulation. The receiver includes a broadband detection receiver, a direction detection receiver and a narrowband analysis receiver. The broadband detection receiver includes a high-frequency band processing module and a low-frequency band processing module.

[0068] The processing steps of the low frequency band processing module (see attached Figure 2 shown) include:

[0069] A1. The broadband detection receiver receives signals with a frequency of 0.8 to 6 GHz;

[0070] A2. Input a signal in the range of -105dBm to +15dBm into the received signal to obtain a first signal;

[0071] A3. The first signal is limited to a certain range through a limiter, and the frequencies outside the frequency point are effectively filtered out through a low-pass filter to obtain a signal with a specific frequency;

[0072] A4. The specific frequency signal is distributed into a second signal of -105dBm to -55dBm and a third signal of -55dBm to +15dBm through a two-power divider;

[0073] S5. The second signal is amplified by three amplifiers, and the amplitude of the second signal is amplified to -50dBm~0dBm and then sent to the signal processor;

[0074] A6. The third signal is directly passed through the limiter and the low-pass filter to form a -60dBm to +10dBm signal, which is directly transmitted to the signal processor;

[0075] The processing steps of the high frequency band processing module (see Appendix Figure 3 shown) include:

[0076] B1. The broadband receiver receives signals with a frequency of 6-20 GHz;

[0077] B2. The received input amplitude range is -105dBm to +15dBm, and the signal amplitude is limited to a certain range by a limiter to form a first signal;

[0078] B3. The first signal is distributed through two power dividers into a second signal with a signal of -110dBm to -60dBm and another third signal with a signal of -60dBm to +10dBm;

[0079] B4. Mixing the second signal with the local oscillator signal after passing through the low noise amplifier module to form a fourth signal;

[0080] B5. After the fourth signal is amplified by three amplifiers with a total gain of 60dB, a -50dBm~0dBm signal is generated by a low-pass filter and sent to the signal processor;

[0081] B6. The third signal is directly down-mixed with the local oscillator signal and then passed through a low-pass filter to generate a -70dBm to 0dBm signal and send it to the signal processor;

[0082] The signal processor sorts and identifies the detected radiation source signals, detects the radiation source and distinguishes the threat, and processes the data through the data processing module of the data processor, and forms an angle deviation command signal to control the flight route of the anti-radiation missile. The signal processor includes a low-frequency signal processing module and a high-frequency signal processing module. The specific steps of pre-sorting the radiation source signal are as follows:

[0083] S1: If the signal source contains pulse arrival angle information, pulse thinning is performed based on the pulse arrival angle;

[0084] S2: Radar radiation source signals from multiple directions are input to the DBSCAN clustering algorithm in parallel, and the input signal data includes frequency sequence and pulse width sequence; the specific algorithm is as follows:

[0085] S2.1. Initialize the number of cluster categories k = 0, initialize the untraversed set Γ = 0, and initialize the main sample set Initialize category division

[0086] S2.2, traverse all samples and calculate the main object using the following process;

[0087] c) Statistics and current sample x j The neighborhood subsample set N∈(x j );

[0088] d) Determine whether the number of samples contained in the neighborhood satisfies |N∈(x j )|≥minPts, if satisfied, the current sample x j Determine it as the main sample and add it to the main sample set Ω=Ω∪{x j};

[0089] S2.3, determine whether the main sample set is empty, that is If it is empty, the algorithm process is exited, otherwise it goes to step S2.4;

[0090] S2.4, randomly select an element from the main sample object set Ω, and increment the sequence number of the current category, initialize the cluster sample set, initialize the main sample queue, and update the unvisited sample set;

[0091] S2.5, determine the current cluster core object queue size, if Then determine the cluster C k The generation is completed, and the cluster division is updated C = {C1, C2, ... C k}, and update the core object set at the same timeΩ=Ω-C k , then go to step S2.3, on the contrary, update the core object set Ω = Ω - C k ;

[0092] S2.6. For the current cluster core object queue Ω cur , select a core object o′ and its ε-neighborhood subsample set, let Δ=N∈(o)∩Γ, update the unvisited sample set, that is, Γ=Γ-Δ, update the current cluster sample set, that is, C k =C k ∪Δ, and update Ω cur =Ω cur ∪(Δ∩Ω)-o′, then proceed to step S2.5;

[0093] S3: According to the clustering results of the DBSCAN algorithm, the noise interference pulses are eliminated to obtain the radar radiation source signal pre-sorting results.

[0094] The broadband detection receiver estimates the frequency of the radar radiation signal, the direction detection receiver detects the direction of the incoming wave of the radar radiation source, and the narrowband analysis receiver performs spectrum analysis on the pulse signal radiated by the radar to obtain the spectrum information of the pulse signal.

[0095] The broadband detection receiver includes a high-frequency band processing module and a low-frequency band processing module.

[0096] The frequency source of the local oscillator is used to generate the local oscillator signal and the signal processing board clock signal.

[0097] The local oscillator is used to generate a high-frequency, equal-amplitude sinusoidal wave signal that is one intermediate frequency higher than the received signal, and inject this oscillation signal into the mixer to obtain an intermediate frequency signal after mixing with the high-frequency TV signal.

[0098] The main chip of the data processor is XILINX's programmable SOC chip ZYNQ XC7Z035-FFG676-2I, which integrates an ARM A9 dual-core CPU, 275K programmable logic units, and has both hardware programming and software programming functions.

[0099] The power module is used to convert the 12V power supplied by the battery into linear output energy suitable for the signal processor, data processing module, receiver and local oscillator.

[0100] The local oscillator signal generation step (see Appendix Figure 4 shown) include:

[0101] C1. Use a high phase noise 100MHz crystal oscillator to generate three 100MHz signals through a low-pass filter and a power divider;

[0102] C2. Use one of the 100MHz signals after the three-way power divider to generate a 500MHz signal by five-fold frequency multiplication;

[0103] C3. Filter and amplify the 500MHz signal and then multiply it by ten times to generate a 5GHz signal;

[0104] C4. After filtering and amplifying the 5GHz signal, it is sent to the SP3T switch, which is switched on to generate 5GHz, 10GHz, and 15GHz signals through direct, double, and triple frequency respectively;

[0105] C5. Select different local oscillator signals to mix the received signal down to the working frequency band of the signal processor;

[0106] C6. The other two 100MHz signals are directly sent out as clock signals for the signal processor after filtering and power division.

[0107] Preferably, the antenna array element is divided into four quadrants, each quadrant is divided into a high frequency band and a low frequency band part, and outputs to the low frequency band processing module and the high frequency band processing module of broadband detection and reception respectively through 8-way SMP.

[0108] The antenna array elements are divided into four quadrants, each quadrant is divided into high-frequency band and low-frequency band parts, and are output to the low-frequency band processing module and high-frequency band processing module of broadband detection and reception through 8-way SMP.

[0109] Among them, the system uses AD system, AD9361 integrates 12-bit DAC and ADC RF 2×2 transceiver (only ADC is used), the frequency band is programmable from 70MHz to 6.0GHz, supports TDD and FDD, and the tunable channel bandwidth is 200kHz to 56MHz. It has excellent receiver sensitivity and a noise figure of 2dB (800MHz, local oscillator (LO)). Each channel has independent automatic gain control, DC offset correction, orthogonal correction and digital filtering functions. Two high dynamic range ADCs digitize the received I and Q signals, and then pass them through a configurable extraction filter and a 128-tap finite impulse response (FIR) filter, resulting in a 12-bit output signal at the corresponding sampling rate.

[0110] The basic process of system processing:

[0111] (1) Frequency measurement

[0112] In order to achieve fast frequency measurement and search for spatial RF signals, the low-frequency band processing module samples and searches the 8 input signals, adjusts the internal search local oscillator of AD9361, and uses 50MHz intervals between each channel of the four AD9361s. Each time, 65536 points of data are processed by FFT. The output data rate of AD9361 is set to 50MHz. The search time calculation formula for every 200MHz (4 quadrants are processed simultaneously, and each quadrant processes 50MHz) is:

[0113] 20ns×65536=1.3ms

[0114] The calculation formula for the search time of low frequency band 800M to 6G is:

[0115] (6000-800) / 200×1.3=34ms

[0116] The high-frequency processing module samples and searches the 8 input signals, adjusts the internal search local oscillator of AD9361, and switches the local oscillator with the multi-frequency local oscillator module. The four AD9361s use 50MHz intervals between each channel, and perform FFT processing on 16384 points of data each time. Since the high-frequency antenna has a gain of 6-8dB higher than the low-frequency antenna, in order to ensure the frequency search time, the FFT points can be reduced to 32768 points. The output data rate of AD9361 is set to 50MHz, and the search time calculation formula for every 200MHz (4 quadrants are processed simultaneously) is:

[0117] 20ns×32768=0.64ms

[0118] The search time calculation formula for high frequency bands from 6G to 18G is:

[0119] (18000-6000) / 200×0.64=38.4ms

[0120] Since the high-band processing module and the low-band processing module work simultaneously, the time to complete the search of the entire frequency band is 38.4ms.

[0121] (2) Direction finding

[0122] The target frequency is obtained through the frequency measurement process, and it is determined whether the tracked target stays in the high frequency band (6G-18G) or the low frequency band (0.8G-6G). The local oscillator output frequency and the internal local oscillator frequency of AD9361 are adjusted to be consistent with the tracked target frequency, and frequency alignment is achieved first. At the same time, it is determined whether the target amplitude appears in the high-gain AD channel or the low-gain AD channel, and 4 channels out of the 8 channels are locked, and the AD data of the 4 channels are processed. Signal analysis is performed based on the AD data. If it is a broadband signal, time-frequency filtering is performed, and the signal is autocorrelated to improve the signal-to-noise ratio of the 4 channels. If it is a narrowband pulse signal, a high-order derivative narrowband digital filter is used to reduce noise and improve the signal-to-noise ratio (the principle is as follows Figure 6 shown).

[0123] The main algorithms include:

[0124] a) Bandpass sampling: center frequency sampling is performed on the measured frequency.

[0125] b) Digital down-conversion: The NCO generates sine and cosine signals that are consistent with the center frequency of the input signal locally and multiplies them with the input signal to obtain I and Q signals.

[0126] c) CIC filtering: CIC filtering can perform filtering and downsampling at the same time. Assume that the target signal has two bandwidths, the signal bandwidth includes 1MHz and 10MHz, and the I, Q output data rate is required to be 2MHz or 10MHz. Therefore, CIC filtering requires two downsampling levels to reduce the signal from 50MHz data rate to 2MHz or 10MHz data rate. The CIC filter level control module is used to adjust the CIC filter level.

[0127] d) CIC compensation filter: The CIC filter has a non-flat passband amplitude-frequency characteristic, so a CIC compensation filter is needed to compensate for the amplitude distortion. The corresponding filter is designed using Matlab to obtain a 32-order filter. After CIC compensation filtering, the data rate can be reduced from 4MHz to 2MHz or 20MHz.

[0128] e) FIR filtering: FIR filtering can further suppress out-of-band signals. The input signal bandwidth is 1±0.1MHz, which has already reached zero frequency. Therefore, the FIR filter passband cutoff frequency is designed to be 600kHz, the blocking start frequency is 800kHz, and the blocking attenuation is 80dB. Matlab is used to design the FIR filter and obtain a 25-order filter.

[0129] After the above series of operations, the out-of-band noise signal is suppressed to more than 80dB, thereby achieving the effect of improving the signal-to-noise ratio and enhancing the signal-to-noise ratio. At the same time, the sum and difference single pulse amplitude and phase comparison angle measurement are carried out, and the repetition period of the target emission waveform is recorded. The radar signal processing reports the angle measurement, frequency measurement results, target emission waveform and repetition period to the data processor through the high-speed serial port.

[0130] (3) Target Tracking

[0131] After the data processor receives target parameters such as target angle information, frequency measurement results, target transmission waveform and repetition period, it first locks the angle of the target relative to itself based on the target angle information and its own inertial navigation information. And record this value. When the next signal processing result arrives, it uses the two changes in its own position and the angle of the locked target to lock the position of the target, and records the target position after coordinate conversion. As the signal processing continuously sends the target information, the data processor performs N-order Kalman filtering to improve the detection accuracy of the target. The data processor records the target coordinates to prevent the target from being lost when the target is shut down and silent.

[0132] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A radiation source interference detection integrated device, characterized in that: It includes an antenna array element, a receiver, a local oscillator, a signal processor, an interface module, a data processor and a power module, wherein the interface module is used to control and connect the receiver, the signal processor, the local oscillator and the data processor, and to supply power to the receiver, the signal processor, the local oscillator and the data processor through the power module; The antenna array element is used to receive signals and transmit the signals to a receiver; The receiver is used to receive the signal, suppress or filter the signal, then amplify and demodulate it, and then transmit the processed information to the signal processor. The receiver includes a broadband reconnaissance receiver, a directional reconnaissance receiver and a narrowband analysis receiver. The broadband reconnaissance receiver includes a high-frequency band processing module and a low-frequency band processing module. The low-frequency band processing module is used to receive a low-frequency signal, and then input a certain range of signals into the received low-frequency signal to obtain a first signal. The first signal is passed through a limiter to limit the signal amplitude within a certain range, and the frequencies outside the frequency point are effectively filtered out through a low-pass filter to obtain a signal of a specific frequency. The specific frequency signal is passed through a two-power divider to be divided into two new signals. One signal is amplified by three amplifiers and sent to a signal processor, and the other signal is directly sent to the signal processor after passing through a limiter and a low-pass filter; The high-frequency band processing module is used to receive a high-frequency signal, and then input a certain range of signals into the received high-frequency signal to obtain a first signal. The first signal is distributed into two signals through a two-way power divider, one of which is mixed with a local oscillator signal after passing through a low-noise amplifier module to form a new signal, and then amplified by three amplifiers and sent to a signal processor through a low-pass filter, and the other signal is directly down-mixed with the local oscillator signal and sent to the signal processor through a low-pass filter; The signal processor performs pre-sorting, main sorting, identification, radiation source detection and threat discrimination on the detected radiation source signals, and performs data processing through the data processing module of the data processor, and simultaneously forms an angle deviation command signal to control the flight route of the anti-radiation missile. The signal processor includes a low-frequency signal processing module and a high-frequency signal processing module, wherein the specific steps of pre-sorting the radiation source signal are as follows: S1: The pre-sorting model inputs pulse arrival angle, pulse width and pulse frequency. If the signal source contains pulse arrival angle information, pulse thinning is performed based on the pulse arrival angle. S2: Radar radiation source signals from multiple directions are input to the DBSCAN clustering algorithm in parallel, and the input signal data includes frequency sequence and pulse width sequence; the DBSCAN clustering algorithm is as follows: S2.

1. Initialize the number of cluster categories k = 0, initialize the untraversed set Γ = 0, and initialize the main sample set Initialize category division S2.2, traverse all samples and calculate the main object using the following process; a) Statistics and current sample x j The neighborhood subsample set N∈(x j ); b) Determine whether the number of samples contained in the neighborhood satisfies |N∈(x j )|≥MinPts, if satisfied, the current sample x j Determine it as the main sample and add it to the main sample set Ω=Ω∪{x j }; S2.3, determine whether the main sample set is empty, that is If it is empty, the algorithm process is exited, otherwise it goes to step S2.4; S2.4, randomly select an element from the main sample object set Ω, increment the sequence number of the current category, initialize the cluster sample set, initialize the main sample queue, and finally update the unvisited sample set; S2.5, determine the current cluster core object queue size, if Then determine the cluster C k The generation is completed, and the cluster division is updated C = {C1, C2, ...C k }, and update the core object set at the same timeΩ=Ω-C k , then go to step S2.3, on the contrary, update the core object set Ω = Ω - C k ; S2.

6. For the current cluster core object queue Ω cur , select a core object o′ and its ε-neighborhood subsample set, let Δ=N∈(o)∩Γ, update the unvisited sample set, that is, Γ=Γ-Δ, update the current cluster sample set, that is, C k =C k ∪Δ, and update Ω cur =Ω cur ∪(Δ∩Ω)-o′, then proceed to step S2.5; S3: According to the clustering results of the DBSCAN algorithm, the noise interference pulses are eliminated to obtain the radar radiation source signal pre-sorting results.

2. The integrated device for detecting and measuring radiation sources according to claim 1, characterized in that: The broadband detection receiver estimates the frequency of the radar radiation signal, the direction detection receiver detects the incoming wave direction of the radar radiation source, and the narrowband analysis receiver performs spectrum analysis on the pulse signal radiated by the radar to obtain the spectrum information of the pulse signal.

3. The integrated device for detecting and measuring radiation sources according to claim 1, characterized in that: The broadband reconnaissance receiver comprises a high frequency band processing module and a low frequency band processing module.

4. The integrated device for detecting and measuring radiation sources according to claim 1, characterized in that: The frequency source of the local oscillator is used to generate a local oscillator signal and a signal processing board clock signal.

5. The integrated device for detecting and measuring radiation sources according to claim 4, characterized in that: The local oscillator is used to generate a high-frequency equal-amplitude sine wave signal with an intermediate frequency higher than the received signal, and inject this oscillation signal into the mixer to obtain an intermediate frequency signal after mixing with the high-frequency television signal.

6. The integrated device for detecting and measuring radiation sources according to claim 4, characterized in that: The data processing machine main chip is a XILINX programmable SOC chip ZYNQ XC7Z035-FFG676-2I, which integrates an ARM A9 dual-core CPU and 275K programmable logic units, and has both hardware programming and software programming functions.

7. The integrated device for detecting and measuring radiation sources according to claim 1, characterized in that: The power module is used to convert the 12V power supplied by the battery into linear output energy suitable for the signal processor, data processing module, receiver and local oscillator.

8. The integrated device for detecting and measuring radiation sources according to claim 1, characterized in that: The local oscillator signal generating step comprises: S1. Use a high phase noise 100MHz crystal oscillator to generate three 100MHz signals through a low-pass filter and a power divider; S2. Use one of the 100MHz signals after the three-way power divider to generate a 500MHz signal by five-fold frequency multiplication; S3. Filter and amplify the 500MHz signal and then multiply it by ten times to generate a 5GHz signal; S4. The 5 GHz signal is filtered and amplified and then sent to the SP3T switch, which is switched on and off to generate 5 GHz, 10 GHz, and 15 GHz signals by double frequency and triple frequency respectively; S5. Select different local oscillator signals to mix down the received signal into the operating frequency band of the signal processor; S6. The other two 100MHz signals are directly sent out as clock signals for the signal processor after filtering and power division.

9. The integrated device for detecting and measuring radiation sources according to claim 1, characterized in that: The antenna array element is divided into four quadrants, each quadrant is divided into a high frequency band and a low frequency band part, and is output to a low frequency band processing module and a high frequency band processing module of broadband detection and reception respectively through 8-way SMP.

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