Radar target detection system for autonomous vehicles with ultra low phase noise frequency synthesizer
View Patent ↗A system for detecting the surrounding environment of vehicle comprising a RADAR unit and at least one ultra-lowphase-noise frequency synthesizer, is provided. A RADAR unit configured for detecting the presence and characteristics of one or more objects in various directions. The RADAR unit may include a transmitter for transmitting at least one radio signal, and a receiver for receiving the at least one radio signalreturned from the one or more objects. The ultra-lowphase-noisefrequency synthesizer may utilize a dual loop design comprising one main PLL and one sampling PLL, where the main PLL might include a DDS or Fractional-N PLL plus a variable divider, or the synthesizer may utilize a sampling PLL only, to reduce phase-noise from the returned radio signal. This system enhances the detection of the exact location of the vehicle based on the received RADAR signatures of objects, azimuth and distance.
1. A system for detecting the surrounding environment of a vehicle comprising:
at least first sensor, configured to obtain data, the at least first sensor comprising:
A) a transmitter for transmitting at least one radio signal to the one or more objects within the surrounding environment;
B) a receiver for receiving the at least one radio signal returned from the one or more objects; and
C) at least one ultra-low phase noise frequency synthesizer configured to determine phase noise and quality of the transmitted and the received at least one radio signal, wherein the at least one ultra-low phase noise frequency synthesizer comprises at least one sampling Phase Locked Loop (PLL) and at least one main PLL, said Sampling PLL comprises a sampling phase detector and said main PLL comprises a high frequency digital phase/frequency detector; and
a processing unit coupled to the at least first sensor configured to;
a) gather, electro-magnetic information about the one or more objects;
b) classify or recognize each of the one or more objects by analyzing the data, wherein the classification or recognition is based on a unique signature obtained from each of the one or more objects;
c) generate an electromagnetic map of the surrounding environment by utilizing unique signatures of the one or more objects; and
d) combine the electromagnetic map with a geographical map or physical map.
2. The system of claim 1 , wherein the at least first sensor is a RADAR sensor.
3. The system of claim 1 , wherein the data includes information about the electromagnetic properties and characteristics about the object of interest or the surroundings of the vehicle.
4. The system of claim 1 , wherein the data includes shape, silhouette, doppler or micro doppler information.
5. The system of claim 1 , wherein the data includes depth, dimensions, direction, height, distance and placement of the object of interest with respect to the vehicle.
6. The system of claim 1 , wherein the classification type of the one or more objects includes living or non-living thing, stationary or moving object, animal or human, standing or mobile human, metal, wood, or concrete.
7. A system for detecting the surrounding environment of a vehicle comprising:
at least first sensor, configured to obtain data, the at least first sensor comprising;
A) a transmitter for transmitting at least one radio signal to the one or more objects within the surrounding environment;
B) a receiver for receiving the at least one radio signal returned from the one or more objects; and
C) at least one ultra-low phase noise frequency synthesizer configured to determine phase noise and quality of the transmitted and the received at least one radio signal, wherein the at least one ultra-low phase noise frequency synthesizer comprises at least one sampling Phase Locked Loop (PLL) and at least one main PLL, said Sampling PLL comprises a sampling phase detector and said main PLL comprises a high frequency digital phase/frequency detector; and
a processing unit coupled to the at least first sensor configured to;
a) gather, electro-magnetic information about the one or more objects;
b) classify or recognize each of the one or more objects by analyzing the data, wherein the classification or recognition is based on a unique signature obtained from each of the one or more objects;
c) generate an electromagnetic map of the surrounding environment by utilizing unique signatures of the one or more objects; and
d) combine the electromagnetic map with a geographical map or physical map.
8. The system of claim 7 , wherein the sensor is a RADAR sensor.
9. The system of claim 7 , wherein the data includes information about the electromagnetic properties and characteristics about the object of interest or the surroundings of the vehicle.
10. The system of claim 7 , wherein the data includes shape, silhouette, doppler or micro doppler information.
11. The system of claim 7 , wherein the data includes depth, dimensions, direction, height, distance and placement of the object of interest with respect to the vehicle.
12. The system of claim 7 , wherein the classification type of the object of interest includes living or non-living thing, stationary or moving object, animal or human, standing or mobile human, metal or wood.
13. A system for detecting the surrounding environment of a vehicle comprising:
at least first sensor, configured to obtain data, the at least first sensor comprising
A) a transmitter for transmitting at least one radio signal to the one or more objects within the surrounding environment;
B) a receiver for receiving the at least one radio signal returned from the one or more objects; and
C) at least one ultra-low phase noise frequency synthesizer configured to determine phase noise and quality of the transmitted and the received at least one radio signal, wherein the at least one ultra-low phase noise frequency synthesizer comprises at least one sampling Phase Locked Loop (PLL) and at least one main PLL, said Sampling PLL comprises a sampling phase detector and said main PLL comprises a high frequency digital phase/frequency detector; and
a processing unit coupled to the at least first sensor configured to;
a) gather, electro-magnetic information about the one or more objects;
b) classify or recognize each of the one or more objects by analyzing the data, wherein the classification or recognition is based on a unique signature obtained from each of the one or more objects;
c) generate an electromagnetic map of the surrounding environment by utilizing unique signatures of the one or more objects; and
d) combine the electromagnetic map with a geographical map or physical map.
14. The system of claim 13 , wherein the sensor is a RADAR sensor.
15. The system of claim 13 , wherein the data includes information about the electromagnetic properties and characteristics about the object of interest or the surroundings of the vehicle.
16. The system of claim 13 , wherein the data includes shape, silhouette, doppler or micro doppler information.
17. The system of claim 13 , wherein the data includes depth, dimensions, direction, height, distance and placement of the object of interest with respect to the vehicle.
18. The system of claim 13 , wherein the classification type of the object of interest includes living or non-living thing, stationary or moving object, animal or human, standing or mobile human, metal, wood, or concrete.
19. A method for detecting the surrounding environment of a vehicle comprising:
A. utilizing at least a first sensor to obtain a data, the at least first sensor being utilized for:
i. transmitting, by a transmitter, at least one radio signal to the one or more objects within the surrounding environment;
ii. receiving, by a receiver, the at least one radio signal returned from the one or more objects; and
iii. determining phase noise and quality of the transmitted and the received at least one radio signal by at least one ultra-low phase noise frequency synthesizer, wherein the at least one ultra-low phase noise frequency synthesizer comprises at least one sampling Phase Locked Loop (PLL) and at least one main PLL, said Sampling PLL comprises a sampling phase detector and said main PLL comprises a high frequency digital phase/frequency detector; and
B. gathering, electro-magnetic information about the one or more objects;
C. classifying or recognize each of the one or more objects by analyzing the data, wherein the classification or recognition is based on a unique signature obtained from each of the one or more objects;
D. generating an electromagnetic map of the surrounding environment by utilizing unique signatures of the one or more objects; and
E. combining the electromagnetic map with a geographical map or physical map.
20. The method of claim 19 , further comprising recognizing the object on interest after classifying, wherein the classification of the object of interest includes living or non-living thing, stationary or moving object, animal or human, standing or mobile human, metallic, wooden, or concrete objects.