IP Library › Granted Patent US 12,663,533
Granted Patent B2
US 12,663,533 · App. 18/583,057 · Granted Jun 23, 2026

Target detection apparatus and method using angle estimation of MPSK-MIMO FMCW radar

Inventors: Kyungtae Kim (Pohang-si, KR); Dongkook Kang (Pohang-si, KR)
Assignee: POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION
G01S13/584G01S7/021G01S13/89
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Quick Facts
Patent No.
US 12,663,533
App. No.
18/583,057
Filed
Feb 21, 2024
Granted
Jun 23, 2026
Kind
B2
Art Unit
3648
USPC
342/109
Abstract

A target detection method according to the present disclosure includes generating a range-velocity map from a radar signal of an MPSK-MIMO FMCW radar, detecting a plurality of target signals including a real target signal and a ghost target signal for a target with respect to a velocity axis, estimating an angle of arrival of the target by applying a Capon beamforming algorithm to a target detection result, configuring a phase sequence by extracting phase values for the plurality of target signals from the range-velocity map and arranging the phase values in descending order of velocity value, and arranging differently a plurality of prediction phase values derived using the angle of arrival according to a preset rule to obtain a plurality of candidate phase sequences, and calculating a correlation coefficient between the phase sequence and the plurality of candidate phase sequences and identifying a real target signal in the range-velocity map.

Claims (266)

1 . A target detection method performed by a target detection device based on an MPSK-MIMO FMCW radar, the target detection method comprising:

generating a range-velocity map from a radar signal transmitted from the MPSK-MIMO FMCW radar and then reflected and received;

detecting a plurality of target signals including a real target signal and a ghost target signal for a target with respect to a velocity axis from the range-velocity map;

estimating an angle of arrival of the target by applying a Capon beamforming algorithm to a target detection result on the range-velocity map;

configuring a phase sequence by extracting phase values for the plurality of target signals from the range-velocity map and arranging the phase values in descending order of velocity value;

deriving a plurality of prediction phase values by using the angle of arrival and arranging differently the plurality of prediction phase values according to a preset rule to obtain a plurality of candidate phase sequences; and

calculating a correlation coefficient between the phase sequence and the plurality of candidate phase sequences and identifying a real target signal among a plurality of target signals of different velocities in the range-velocity map by using the candidate phase sequence representing a highest correlation coefficient.

2 . The target detection method of claim 1 , wherein

the detecting of the plurality of target signals includes detecting M target signals with different velocities per target for each velocity axis in N range-velocity maps obtained from M transmission antennas and N reception antennas.

3 . The target detection method of claim 2 , wherein the configuring of the phase sequence includes:

extracting 2N phase values in response to a total of 2N target signals obtained for the N range-velocity maps in a BPSK method in which M=2; and

configuring the phase sequence including a total of 2N phase values by arranging N phase values extracted from a signal with a higher velocity value in order of reception channel among two target signals in each of the N range-velocity maps and then arranging N phase values extracted from other signals with lower velocity values in order of the reception channel.

4 . The target detection method of claim 2 , wherein, in the obtaining of the plurality of candidate phase sequences,

a total of 2N prediction phase values from e j0ω to e i(2N-1)ω are calculated in response to a total of 2N target signals detected from signals of a total of N reception antennas in a BPSK method in which M=2, and

ω is a phase difference between signals and is defined by an equation

ω

=

2

⁢

π

⁢

d

⁢

sin

⁡

(

θ

)

λ

 where d represents an interval between the N reception antennas, θ represents an angle of arrival, and λ represents a radar wavelength.

5 . The target detection method of claim 4 , wherein

the obtaining of the plurality of candidate phase sequences includes generating a first candidate phase sequence S1 in which a target signal corresponding to a higher velocity value among two target signals in each of range-velocity maps is assumed to be the real target signal and a second candidate phase sequence S2 in which a target signal corresponding to a lower velocity value is assumed to be the real target signal, when M=2 and N=4, as follows

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⁢

1

=

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and

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6 . The target detection method of claim 5 , wherein the identifying of the real target signal includes:

comparing a first correlation coefficient between the phase sequence and the first candidate phase sequence with a second correlation coefficient between the phase sequence and the second candidate phase sequence; and

identifying a target signal located at a higher velocity value among the two target signals in each of the range-velocity maps as the real target signal when the first correlation coefficient is greater than the second correlation coefficient, and identifying a target signal located at a lower velocity value as the real target signal when the second correlation coefficient is greater than the first correlation coefficient.

7 . A target detection device based on a MPSK-MIMO FMCW radar, the target detection device comprising:

a signal processor configured to generate a range-velocity map from a radar signal transmitted from the MPSK-MIMO FMCW radar and then reflected and received;

a signal detector configured to detect a plurality of target signals including a real target signal and a ghost target signal for a target with respect to a velocity axis from the range-velocity map;

an angle estimator configured to estimate an angle of arrival of the target by applying a Capon beamforming algorithm to a target detection result on the range-velocity map;

a phase sequence generator configuring a phase sequence by extracting phase values for the plurality of target signals from the range-velocity map and configured to arrange the phase values in descending order of velocity value;

a candidate phase sequence generator configured to derive a plurality of prediction phase values by using the angle of arrival and arranging differently the plurality of prediction phase values according to a preset rule to obtain a plurality of candidate phase sequences; and

a signal identifier configured to calculate a correlation coefficient between the phase sequence and the plurality of candidate phase sequences and identify a real target signal among a plurality of target signals of different velocities in the range-velocity map by using the candidate phase sequence representing a highest correlation coefficient.

8 . The target detection device of claim 7 , wherein

the signal detector detects M target signals with different velocities per target for each velocity axis in N range-velocity maps obtained from M transmission antennas and N reception antennas.

9 . The target detection device of claim 8 , wherein

the phase sequence generator extracts 2N phase values in response to a total of 2N target signals obtained for the N range-velocity maps in a BPSK method in which M=2, and configures the phase sequence including a total of 2N phase values by arranging N phase values extracted from a signal with a higher velocity value in order of reception channel among two target signals in each of the N range-velocity maps and then arranging N phase values extracted from other signals with lower velocity values in order of the reception channel.

10 . The target detection device of claim 8 , wherein

the candidate phase sequence generator calculates a total of 2N prediction phase values from e j0ω to e i(2N-1)ω in response to a total of 2N target signals detected from signals of a total of N reception antennas in a BPSK method in which M=2, and

ω is a phase difference between signals and is defined by an equation

ω

=

2

⁢

π

⁢

d

⁢

sin

⁡

(

θ

)

λ

 where d represents an interval between the N reception antennas, θ represents an angle of arrival, and λ represents a radar wavelength.

11 . The target detection device of claim 10 , wherein

The candidate phase sequence generator generates a first candidate phase sequence S1 in which e i0ω to e i3ω are arranged in a front portion by assuming a target signal corresponding to a higher velocity value among two target signals in each of range-velocity maps as the real target signal and a second candidate phase sequence S2 in which e i4ω to e i7ω are arranged in a front portion by assuming a target signal corresponding to a lower velocity value as the real target signal, when M=2 and N=4, as follows:

S

⁢

1

=

[

e

j

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0

e

jw

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j

⁢

2

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j

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and

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⁢

2

=

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]

.

12 . The target detection device of claim 11 , wherein

the signal identifier compares a first correlation coefficient between the phase sequence and the first candidate phase sequence with a second correlation coefficient between the phase sequence and the second candidate phase sequence, and identifies a target signal located at a higher velocity value among the two target signals in each of the range-velocity maps as the real target signal when the first correlation coefficient is greater than the second correlation coefficient, and identifies a target signal located at a lower velocity value as the real target signal when the second correlation coefficient is greater than the first correlation coefficient.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 21, 2024
From: KIM, KYUNGTAE; KANG, DONGKOOK
To: POSTECH RESEARCH AND BUSINESS DEVELOPMENT FOUNDATION
Reel/Frame 066517/0622 →
Priority Claims (1)
KR 10-2023-0095388 · Jul 21, 2023 · national
Continuity (1)
Related Publication 20250028038A1 · Jan 23, 2025
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