IP Library Granted Patent US 12663533
Granted Patent B2
US 12663533 · 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 12663533
App. No.
18/583,057
Granted
Jun 23, 2026
Kind
B2
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

S

1

=

[

e

j

0

e

jw

e

j

2

w

e

j

3

w

e

j

4

w

e

j

5

w

e

j

6

w

e

j

7

w

]

,

and

S

2

=

[

e

j

4

w

e

j

5

w

e

j

6

w

e

j

7

w

e

j

0

e

jw

e

j

2

w

e

j

3

w

]

.

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

0

e

jw

e

j

2

w

e

j

3

w

e

j

4

w

e

j

5

w

e

j

6

w

e

j

7

w

]

,

and

S

2

=

[

e

j

4

w

e

j

5

w

e

j

6

w

e

j

7

w

e

j

0

e

jw

e

j

2

w

e

j

3

w

]

.

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.