Quantum enhancement-based high-reliability detection single-photon imaging radar and target recognition device

Abstract

The invention discloses a high-reliability detection single-photon imaging radar based on quantum enhancement and a target recognition device. The high-reliability detection single-photon imaging radar comprises a laser radar host and a display, the laser radar host further comprises a pulse string laser emitting unit, a laser receiving and detecting unit, an optical antenna and scanning unit and an information processing and image recognition unit. According to the invention, by adopting pseudo-random code pulse emission and a single-photon detection system, the reliability of target detection is greatly enhanced; by adopting a mode of combining signal processing, target feature recognition and an image processor, not only can a three-dimensional point cloud image of a traditional laser radar be obtained, but also a typical type of target can be recognized, and scene application can be directly carried out. The single-photon imaging radar not only has the characteristics of high space-time resolution and long-distance detection of the traditional single-photon imaging radar, but also solves the problem that the traditional single-photon detection is easily interfered by background light.

Description

Technical Field

[0001] The present invention relates to the technical field of lidar, and in particular to a highly reliable detection single-photon imaging radar and target recognition device based on quantum enhancement. Background Art

[0002] At present, single-photon detection has technical advantages such as high spatio-temporal resolution, long detection distance, and wide spectral response. In particular, imaging radars based on single-photon detection have the capabilities of long-distance detection and fine target imaging, and have important application prospects in fields such as target recognition and space surveillance. However, single-photon detection is easily affected by background light interference. Especially in the daytime environment, the background scattering of sunlight causes serious false alarms in single-photon detection, and even blocks the channels, resulting in inability to detect or image.

[0003] Most domestic single-photon detections adopt the method of narrow-band filter to reduce the influence of background stray light. However, even with narrow-band filtering within 0.05 nm, serious false alarms still occur during single-photon detection in the daytime, making it impossible for single-photon detection to effectively image. Summary of the Invention

[0004] The purpose of the present invention is to provide a highly reliable detection single-photon imaging radar and target recognition device based on quantum enhancement, which can achieve high-reliability detection of single photons and the application requirements of all-weather operation.

[0005] The technical solution adopted by the present invention is as follows:

[0006] A highly reliable detection single-photon imaging radar and target recognition device based on quantum enhancement, comprising a lidar host and a display;

[0007] The lidar host is used to emit a laser pulse signal to a specified spatial area, receive the laser echo signal scattered by the target in the specified spatial area, obtain a three-dimensional point cloud image of the target based on the emitted laser echo signal and the spatial position relationship, and achieve target recognition through the feature detection of the three-dimensional point cloud image; the lidar host further includes: a pulse train laser emission unit, a laser reception and detection unit, an optical antenna and scanning unit, and an information processing and image recognition unit;

[0008] The pulse train laser emission unit is used to control a plurality of fiber lasers to generate pulse optical signals according to a pseudo-random time sequence, and form a laser pulse coding string with an 8-bit pseudo-random sequence under the beam combination of a fiber combiner, which is used as the output light source for target detection;

[0009] The optical antenna and scanning unit is used to collimate the laser emitted by the pulse train laser emission unit, emit the collimated laser to different target spaces, and simultaneously collect the echo signals scattered by the targets in different spaces;

[0010] The laser receiving and detecting unit is configured to receive the optical signals from the optical antenna and the scanning unit, perform optical quantum enhanced amplification and wavelength conversion on the laser signal, perform photoelectric conversion on the sum-frequency optical signal after conversion through a silicon-based single-photon detector, form a photon pulse signal and send it to the information processing and image recognition unit;

[0011] The information processing and image recognition unit is configured to perform time measurement and distance calculation on the photon pulse signal output by the laser receiving and detecting unit, establish lidar three-dimensional point cloud image data in combination with different spatial position angles, identify the target type through lidar point cloud image feature recognition, and send it to the display for image display;

[0012] The display is configured to display the three-dimensional point cloud image and the target recognition image.

[0013] The laser receiving and detecting unit includes a quantum enhancement module and a silicon-based single-photon detector;

[0014] The quantum enhancement module receives the target echo signal collected by the optical antenna and the scanning unit, realizes the wavelength conversion of the echo signal from 1550.06 nm to 863.6 nm through the sum-frequency effect of the 1950 nm amplified laser and the echo signal on the periodic lithium niobate waveguide wavelength division multiplexing upconverter inside the quantum enhancement module, and performs photoelectric conversion through a silicon-based single-photon detector to form a photon counting signal.

[0015] The information processing and image recognition unit includes a time-to-digital converter TDC, a signal controller, a lidar point cloud image processing board, and a target feature recognition and image processor;

[0016] The signal controller generates an 8-bit pseudo-random code modulation signal to modulate the pulsed laser transmitting unit to generate an 8-bit pseudo-random pulse coding string, and at the same time receives the real-time angle information of the optical antenna and the scanning unit and sends it to the lidar point cloud image processing board; the time-to-digital converter TDC detects the photon pulse signal of the laser receiving and detecting unit in the timing mode of the signal controller, realizes the timing of the laser transmission time corresponding to the target distance, and sends it to the lidar point cloud image processing board; the lidar point cloud image processing board receives the timing value of the time-to-digital converter TDC and the angle feedback value of the signal controller, establishes a lidar three-dimensional point cloud image, and conveys the lidar three-dimensional point cloud image to the target feature recognition and image processor; the target feature recognition and image processor performs feature recognition on the three-dimensional point cloud data of the lidar formed on the signal processing board, after identifying the target, performs the display of the target recognition frame and target information, and sends the display image information.

[0017] The described optical antenna and scanning unit further include: a transmitting antenna, a receiving antenna, a decahedron rotating mirror, a fast steering mirror, and an optical window;

[0018] The transmitting antenna collimates the laser output by the pulse train laser emitting unit, and after passing through the decahedron rotating mirror, the fast steering mirror, and the optical window, emits it towards the target space; the echo signal scattered from the target passes through the optical window, the fast steering mirror, and the decahedron rotating mirror, and is collected by the receiving antenna and sent to the laser receiving unit for optical signal processing. Through the decahedron rotating mirror and the fast steering mirror, two-dimensional airspace scanning with an azimuth angle of 60° and a pitch angle of 12.5° can be achieved.

[0019] The described quantum enhancement module further includes: a 1950nm amplified light source, a periodic lithium niobate waveguide wavelength division multiplexing upconverter, and a filter; the 1950nm amplified light source is sent into the periodic lithium niobate waveguide wavelength division multiplexing upconverter together with the target echo optical signal collected by the optical antenna and scanning unit, and through the quasi-phase matching of the 1950nm amplified light source signal and the target echo optical signal, the generation and filtering of the sum-frequency optical signal are realized.

[0020] The described target feature recognition and image processor is a high-performance AI processing algorithm hardware platform based on GPU, with a hardware computing power of 275 TOPS. The CPU uses a 12-core ARM processor and a 128G solid-state drive, which can not only perform on-board storage and application of lidar point cloud data, but also realize real-time transmission and display to the monitor.

[0021] The described signal controller further includes: a clock chip, an integrated circuit, 3 TTL interface circuits, and 3 communication circuits; the clock chip uses a 125MHz clock signal and inputs it to the integrated circuit to realize encoding signal modulation; the integrated circuit is an XC7Z100 type integrated circuit and is used to generate 8-bit pseudo-random codes; the TTL interface circuit uses an SN74LVC2T45 type circuit to realize the generation of encoded modulation signals; the communication circuit is RS422 communication.

[0022] The aperture of the transmitting antenna is ￠10mm; the aperture of the receiving antenna is ￠20mm; the decahedron rotating mirror is processed from an aluminum-based material with an additional 1550nm reflective film; the fast steering mirror is a one-dimensional fast steering mirror with an effective aperture of ￠20mm; the optical window is an optical glass coated with a 1550nm antireflection film.

[0023] By adopting a pseudo-random code pulse emission and single-photon detection system, the present invention greatly enhances the reliability of target detection; by adopting a combination of an icosahedron rotating mirror and a fast steering mirror, the frame rate of the lidar point cloud image is increased; by adopting a quantum enhancement module and a silicon-based single-photon detector mode, not only is the quantum efficiency of single-photon detection greatly enhanced, thus improving the detection ability of the lidar, but also the interference of scattered background light can be greatly eliminated, improving the environmental anti-interference ability of single-photon detection; by adopting a mode combining signal processing, target feature recognition and an image processor, not only can a three-dimensional point cloud image of a traditional lidar be obtained, but also the ability to identify typical types of targets is available, enabling direct scene applications. The present invention not only has the characteristics of high spatio-temporal resolution, long-distance detection of a traditional single-photon imaging lidar, but also, due to the addition of a quantum enhancement module, solves the problem that traditional single-photon detection is easily interfered by background light, greatly improves the detection reliability and all-weather working characteristics of the single-photon imaging lidar, and increases the application fields of the single-photon imaging lidar. Description of the Drawings

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0025] Figure 1 It is the structural principle block diagram of the present invention.

[0026] Figure 2 It is the principle diagram of pseudo-random code modulation of the present invention. Detailed Embodiments

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0028] As Figure 1 shown, the present invention consists of two parts: a lidar host and a display.

[0029] The lidar host is composed of a pulsed laser emission unit, a laser receiving and detecting unit, an optical antenna and scanning unit, and an information processing and image recognition unit. It is used to emit pulsed laser pulse signals to a specified spatial area, receive the laser echo signals scattered by targets in the specified spatial area, obtain the three-dimensional point cloud image of the targets based on the transmission time and spatial position relationship of the emitted laser echo signals, and achieve target recognition through the feature detection of the three-dimensional point cloud image.

[0030] The display is used for displaying the three-dimensional point cloud image and the target recognition image, and is connected to the lidar host through a DP interface.

[0031] See Figure 1 As shown, the high-reliability detection single-photon imaging radar and target recognition device based on quantum enhancement includes a lidar host 100 and a display 200.

[0032] The lidar host 100 is composed of a pulsed laser emission unit 110, a laser receiving and detecting unit 120, an optical antenna and scanning unit 130, and an information processing and image recognition unit 140.

[0033] Among them, the burst laser emission unit 110 is composed of a fiber laser 1111 with a laser wavelength of 1550.06 nm and a repetition frequency of 2 MHz, a fiber laser 2112, a fiber laser 3113, and a 3×1 fiber combiner 114 with a coupling ratio of 1:1:1. The fiber laser 1111, the fiber laser 2112, and the fiber laser 3113 respectively output pulsed light under the control of the information processing and image recognition unit 140. After passing through the 3×1 fiber combiner 114 with a coupling ratio of 1:1:1, a laser pulse code string is formed for the light source emission during target detection. The laser receiving and detecting unit 120 is composed of a quantum enhancement module 121 and a silicon-based single-photon detector 122. The quantum enhancement module 121 is composed of an amplified light source at 1950 nm, a periodic lithium niobate waveguide wavelength division multiplexing upconverter, and a filter. The amplified light source at 1950 nm is used to amplify the backscattered light signal. The periodic lithium niobate waveguide wavelength division multiplexing upconverter is used to ensure the phase matching between the backscattered light signal and the amplified light source signal, realize the sum frequency conversion of the hybrid beam, and output the sum frequency light with a wavelength of 863.6 nm. The silicon-based single-photon detector 122 is used for 863.The sum-frequency light of 6 nm is subjected to optoelectronic conversion; the filter is used to filter out stray light and only retain the sum-frequency light signal; the optical antenna and the scanning unit 130 are composed of a transmitting antenna 131 with a diameter of ￠10 mm, a receiving antenna 132 with a diameter of ￠20 mm, an aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflection film, a one-dimensional fast steering mirror 134, and an optical window 135 coated with a 1550 nm antireflection film; the transmitting antenna 131 with a diameter of ￠10 mm is used to collimate the laser pulse code string generated by the pulsed laser transmitting unit 110; the receiving antenna 132 with a diameter of ￠20 mm is used to collect the echo signal scattered by the target and couple it into a single-mode optical fiber; the aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflection film and the one-dimensional fast steering mirror 134 together form a two-dimensional scanner to realize the deflection and positioning of the light beam in the two-dimensional space. The aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflection film realizes the light beam scanning in the horizontal direction, and the one-dimensional fast steering mirror 134 realizes the light beam scanning in the pitching direction; the optical window 135 coated with a 1550 nm antireflection film and the overall structure of the machine together form a sealed space to realize functions such as waterproof, moisture-proof, and dust-proof for the entire lidar; the information processing and image recognition unit 140 is composed of a signal controller 141, a time-to-digital converter TDC 142, a lidar point cloud image processing board 143, and a target feature recognition and image processor 144; the signal controller 141 is composed of a 125 MHz clock chip, an integrated circuit of XC7Z100, 3-way SN74LVC2T45 TTL interface circuits, and 3-way RS422 communication circuits; the 125 MHz clock chip provides a time reference for the operation of the integrated circuit of XC7Z100; the integrated circuit of XC7Z100 is used to generate an 8-bit pseudo-random code modulation logic signal and realize the parameter control and real-time angle position feedback reception of the aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflection film and the one-dimensional fast steering mirror 134; the 3-way SN74LVC2T45 TTL interface circuits are used to convert the 8-bit pseudo-random code modulation logic signal generated by the integrated circuit of XC7Z100 into a modulation pulse signal to realize the modulation of the 8-bit pseudo-random laser pulse string of the pulsed laser transmitting unit 110; the 3-way RS422 communication circuits respectively establish communications between the integrated circuit of XC7Z100 and the aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflection film, the one-dimensional fast steering mirror 134, and the lidar point cloud image processing board 143 to realize the control of the two-dimensional space scanning state and the feedback communication of the real-time position. The time-to-digital converter TDC 142 is used to accurately time the single-photon signals detected by the silicon-based single-photon detector 122; the lidar point cloud image processing board 143, under the timing of the time-to-digital converter TDC 142, according to...

[0034] R = cT / 2

[0035] Calculate the distance R of the target, where c is the light beam, taking 3×108 m / s, T is the timing time, and at the same time, according to the real-time position information of the aluminum-based decahedron rotating mirror 133 and the one-dimensional fast steering mirror 134 with an additional coating of 1550 nm reflective film sent by the integrated circuit of XC7Z100, a space vector is established.

[0036]

[0037] Among them, θ is the azimuth angle, is the pitch angle, and R is the distance of the target. According to the space vector, the establishment of the 3D point cloud image of the lidar is realized; after the target feature recognition and image processor 144 is annotated with the lidar point cloud image and undergoes neural network learning, it is used for the comparison of the target features in the real-time lidar point cloud image to achieve target recognition.

[0038] [[ID=]11] The lidar host 100 communicates and transfers data with the display 200 through the DP port.

[0039] The working process is as follows: After the lidar host is powered on, under the control of the signal controller 141, the fiber laser 1111, fiber laser 2112, and fiber laser 3113 respectively generate pulsed lasers. After passing through a 3×1 fiber coupler 114 with a coupling ratio of 1:1:1, a pulsed coded optical signal with an 8-bit pseudo-random sequence is formed. This coded optical signal is input into a collimating transmitting antenna 131 with a diameter of ￠10mm through fiber coupling. After collimation, the light beam passes through an aluminum-based decahedron rotating mirror 133 with an anti-reflection film of 1550nm, a one-dimensional fast steering mirror 134, and an optical window 135 with an anti-reflection film of 1550nm, and then irradiates the target. The echo signal scattered from the target passes through the optical window 135 with an anti-reflection film of 1550nm, the one-dimensional fast steering mirror 134, and the aluminum-based decahedron rotating mirror 133 with an anti-reflection film of 1550nm again, and then enters a receiving antenna 132 with a diameter of ￠20mm. After fiber coupling, it enters the quantum enhancement module 121. After being amplified by the periodic lithium niobate waveguide wavelength division multiplexing upconverter and a 1950nm amplified light source inside, a sum-frequency light is formed, and after filtering, it is sent to a silicon-based single-photon detector 122 for photoelectric conversion. The converted electrical signal is input into a time-to-digital converter TDC 142 for precise timing. The timing information, together with the real-time two-dimensional angle information sent by the signal controller 141, is transmitted to the lidar point cloud image processing board 143. The lidar point cloud image processing board 143 calculates the distance value of the target based on the timing information, and combines the real-time two-dimensional angle sent by the controller 141 to establish a lidar point cloud image. The target feature recognition and image processor 144 performs target feature recognition on the input lidar point cloud image. After identifying the target features, it displays information such as the target box, target type, distance, and azimuth, and at the same time stores and transmits the data. After receiving the signal sent by the target feature recognition and image processor 144, the display 200 performs image display.

[0040] In actual use, the quantum enhancement module 121 proposed by the present invention performs quasi-phase matching on the beam with a modulation wavelength of 1950nm inside it and the echo beam on the periodic lithium niobate waveguide wavelength division multiplexing upconverter to achieve the sum-frequency effect, and shifts the echo signal light from 1550.06nm laser to 863.6nm, and performs photoelectric response through the silicon-based single-photon detector 122 to form photon counting with high quantum efficiency.

[0041] In actual use, the target feature recognition and image processor 144 proposed by the present invention is a high-performance AI processing algorithm hardware platform based on GPU, with a hardware computing power of 275 TOPS. The CPU uses a 12-core ARM processor and a 128G solid-state drive, which can not only perform on-board storage and application of lidar point cloud data, but also achieve real-time transmission and display to the monitor.

[0042] In actual use, the optical antenna and scanning unit 130 proposed by the present invention use an aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflective film and a one-dimensional fast steering mirror 144 to achieve beam scanning in a two-dimensional space. The aluminum-based decahedron rotating mirror 133 with an additional 1550 nm reflective film is responsible for horizontal wind direction scanning, and the one-dimensional fast steering mirror 144 is responsible for pitching direction scanning. Through the combination of the two, a two-dimensional airspace with an azimuth angle of 60° and a pitching angle of 12.5° is formed.

[0043] As Figure 2 shown, in actual use, the signal controller 141 proposed by the present invention adopts a modulation method of 8-bit pseudo-random code to achieve the modulation of pulse trains. The time interval between pulse groups is Δti, and the intervals within the pulse train are ΔT1 and ΔT2 respectively. The three time interval values of ΔTi, ΔT1, and ΔT2 form an 8-bit pseudo-random code. The 8-bit pseudo-random code modulation mathematical function is as follows:

[0044]

[0045] where ΔTb is a fixed pulse interval. For example, when the laser repetition frequency is 2 MHz, its value is 500 ns; ΔTv is the minimum pulse interval adjustment amount, which is related to the hardware performance, such as 1 ns to 3000 ns; ki, k2, and k3 are pseudo-random adjustment coefficients, which are generated from the pseudo-random sequence status code.

[0046] Compared with the traditional single-photon imaging radar, the present invention adopts a pseudo-random code pulse emission and single-photon detection system, which greatly enhances the reliability of target detection; adopts a combination of a decahedron rotating mirror and a fast steering mirror, increasing the frame rate of the lidar point cloud image; adopts a quantum enhancement module and a silicon-based single-photon detector mode, which not only greatly enhances the quantum efficiency of single-photon detection, thereby improving the detection ability of the lidar, but also can greatly eliminate the interference of scattered background light and improve the environmental anti-interference ability of single-photon detection; adopts a mode of combining signal processing, target feature recognition, and an image processor, which can not only obtain the three-dimensional point cloud image of the traditional lidar, but also has the ability to recognize typical types of targets and can be directly applied to the scene, realizing the integration of target detection, imaging, and recognition.

[0047] The present invention not only has the characteristics of high spatio-temporal resolution and long-distance detection of the traditional single-photon imaging radar, but also due to the addition of a quantum enhancement module based on periodic lithium niobate waveguide wavelength division multiplexing up-conversion, solves the problem that traditional single-photon detection is easily interfered by background light, greatly improves the high-reliability detection characteristics and all-weather working characteristics of the single-photon imaging radar, increases the application fields of the single-photon imaging radar, and has broad application prospects in the fields of driverless vehicle autonomous driving, unmanned aerial vehicle environmental perception, etc.

[0048] The lidar designed by the present invention has a detection range of 500 m, a spatial resolution of 0.1°, and a frame rate of 20 Hz. It not only realizes the ability to detect distant targets, but also, due to the addition of a quantum enhancement module, solves the problem that traditional single-photon detection is easily interfered by background light, greatly improves the high-reliability detection characteristics and all-weather working characteristics of the single-photon imaging lidar, increases the application fields of the single-photon imaging lidar, and has broad application prospects in fields such as unmanned vehicle autonomous driving and unmanned aerial vehicle environmental perception.

[0049] In the description of the present invention, it should be noted that for orientation terms, such as the terms "center", "horizontal", "longitudinal", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc., indicating the orientation and position relationship are based on the orientation or position relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and should not be construed as limiting the specific protection scope of the present invention.

[0050] It should be noted that the terms "comprising" and "having" in the description and claims of this application, and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0051] Note that the above is only the preferred embodiment of the present invention and the application of technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments, and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the specific embodiments described herein. Without departing from the concept of the present invention, more other effective embodiments can also be included, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A high-reliability single-photon imaging radar and target recognition device based on quantum enhancement, characterized in that: It includes a lidar host and a display; The lidar host is used to emit laser pulse signals to a specified spatial area, receive the laser echo signals scattered by targets in the specified spatial area, obtain the three-dimensional point cloud image of the targets based on the emitted laser echo signals and the spatial position relationship, and achieve target recognition through the detection of three-dimensional point cloud image features. The lidar host further includes: a pulsed laser emission unit, a laser receiving and detecting unit, an optical antenna and a scanning unit, and an information processing and image recognition unit; The pulsed laser emission unit is used to control multiple fiber lasers to generate pulsed optical signals according to a pseudo-random time sequence, and form a laser pulse coding string with an 8-bit pseudo-random sequence under the beam combination of a fiber combiner, which is the output light source for target detection; The optical antenna and scanning unit is used to collimate the laser emitted by the pulsed laser emission unit, emit the collimated laser to different target spaces, and collect the echo signals scattered by targets from different spaces at the same time; The laser receiving and detecting unit is used to receive the optical signals of the optical antenna and scanning unit, perform optical quantum enhanced amplification and wavelength conversion on the laser signals, perform photoelectric conversion on the sum-frequency optical signals after conversion through a silicon-based single-photon detector, form photon pulse signals, and send them to the information processing and image recognition unit; The information processing and image recognition unit is used to perform time counting and distance calculation on the photon pulse signals output by the laser receiving and detecting unit, establish lidar three-dimensional point cloud image data in combination with different spatial position angles, identify the target types through the recognition of lidar point cloud image features, and send them to the display for image display; The display is used for the display of three-dimensional point cloud images and target recognition images.

2. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 1, characterized in that, The laser receiving and detecting unit includes a quantum enhancement module and a silicon-based single-photon detector; The quantum enhancement module receives the target echo signals collected by the optical antenna and scanning unit, realizes the wavelength conversion of the echo signals from 1550.06nm to 863.6nm through the sum-frequency effect of the 1950nm amplified laser and the echo signals on the periodic lithium niobate waveguide wavelength division multiplexing upconverter inside the quantum enhancement module, and performs photoelectric conversion through a silicon-based single-photon detector to form photon counting signals.

3. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 1, characterized in that The information processing and image recognition unit includes a time-to-digital converter TDC, a signal controller, a lidar point cloud image processing board, and a target feature recognition and image processor; The signal controller generates an 8-bit pseudo-random code modulation signal to modulate the pulsed laser emission unit, generating an 8-bit pseudo-random pulse code string. At the same time, it receives the real-time angle information of the optical antenna and scanning unit and sends it to the lidar point cloud image processing board; the time-to-digital converter TDC detects the photon pulse signal of the laser receiving detection unit in the timing mode of the signal controller, realizes the timing of the laser transmission time corresponding to the target distance, and sends it to the lidar point cloud image processing board; the lidar point cloud image processing board receives the timing value of the time-to-digital converter TDC and the angle feedback value of the signal controller, establishes a lidar three-dimensional point cloud image, and conveys the lidar three-dimensional point cloud image to the target feature recognition and image processor; the target feature recognition and image processor performs feature recognition on the three-dimensional point cloud data of the lidar formed on the signal processing board. After identifying the target, it displays the target recognition frame and target information, and sends the display image information.

4. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 1, characterized in that The optical antenna and scanning unit further includes: a transmitting antenna, a receiving antenna, a decahedron rotating mirror, a fast steering mirror, and an optical window; The transmitting antenna collimates the laser output by the pulsed laser emission unit, and after passing through the decahedron rotating mirror, the fast steering mirror, and the optical window, it is emitted towards the target space; the echo signal scattered from the target passes through the optical window, the fast steering mirror, and the decahedron rotating mirror, and is collected by the receiving antenna and sent to the laser receiving unit for optical signal processing; Through the decahedron rotating mirror and the fast steering mirror, two-dimensional airspace scanning with an azimuth angle of 60° and an elevation angle of 12.5° can be achieved.

5. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 2, wherein The quantum enhancement module further includes: a 1950nm amplified light source, a periodic lithium niobate waveguide wavelength division multiplexing upconverter, and a filter; the 1950nm amplified light source is sent into the periodic lithium niobate waveguide wavelength division multiplexing upconverter together with the target echo optical signal collected by the optical antenna and scanning unit, and through the quasi-phase matching of the 1950nm amplified light source signal and the target echo optical signal, the generation and filtering of the sum-frequency optical signal are realized.

6. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 3, wherein The target feature recognition and image processor is a high-performance AI processing algorithm hardware platform based on GPU, with a hardware computing power of 275 TOPS. The CPU uses a 12-core ARM processor and a 128G solid-state drive, which can not only perform on-board storage and application of lidar point cloud data, but also realize real-time transmission and display to the monitor.

7. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 3, characterized in that, The signal controller further includes: a clock chip, an integrated circuit, a 3-channel TTL interface circuit, and a 3-channel communication circuit; the clock chip uses a clock signal of 125 MHz and inputs it to the integrated circuit to achieve encoding signal modulation; the integrated circuit is an XC7Z100 type integrated circuit, which is used to generate 8-bit pseudo-random codes; the TTL interface circuit uses an SN74LVC2T45 type circuit to achieve the generation of encoded modulation signals; the communication circuit is RS422 communication.

8. The high-reliability single-photon detection imaging radar and target recognition device based on quantum enhancement according to claim 4, characterized in that: The aperture of the transmitting antenna is φ10 mm; the aperture of the receiving antenna is φ20 mm; the decahedron rotating mirror is processed from an aluminum-based material with an additional 1550 nm reflective film; the fast steering mirror is a one-dimensional fast steering mirror with an effective aperture of φ20 mm; the optical window is an optical glass coated with a 1550 nm antireflection film.

Images