# US 2021/0240446 A1 · Method for identifying carrier motion mode based on time-domain differential characteristic

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- Number: US 2021/0240446 A1
- Document ID: US20210240446A1
- Status: Published application
- Kind: A1
- Application number: 17/151,052
- Filed: 2021-01-15
- Published: 2021-08-05
- Earliest claimed: 2020-01-16
- Assignees: Zhejiang University
- Applicants: Zhejiang University
- Inventors: Lijun MIAO; Jingtao YAN; Yilan ZHOU; Tengchao HUANG; Shuangliang CHE; Xiaowu SHU
- Web page: https://patentgrep.com/patent/US20210240446A1

## CPC

- G05B 23/0235: {based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold}
- G06F 7/64: Digital differential analysers, i.e. computing devices for differentiation, integration or solving differential or integral equations, using pulses representing increments; Other incremental computing devices for solving difference equations (G06F7/70 takes precedence; differential analysers using hybrid computing techniques G06J1/02 {; DDA application in numerical control G05B19/18})
- G06F 7/523: Multiplying only
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

The present disclosure provides a method for identifying a carrier motion mode based on a time-domain differential characteristic. Firstly, a difference operation is performed on data to obtain a difference sequence, and then sign, progressive multiplication, and accumulation operations are performed on the difference sequence, and finally thresholds are set to determine an accumulation sequence, so as to obtain a carrier motion mode. All operations involved in this method are performed in time domain, and the method has the advantages of simple algorithm, good real-time performance, accurate determination, and strong robustness.

## Claims

### Claim at position 1

1-6. (canceled)

### Claim 7

A method for identifying a carrier motion mode based on a time-domain differential characteristic, said method comprising:
(a) assuming that a data sequence collected in a period of time is xi (i=1, . . . , k), performing a difference operation on the sequence xi to obtain a difference sequence di (i=1, . . . , k);
(b) performing a sign obtaining algorithm on the difference sequence di to obtain a sign sequence si (i=1, . . . , k) and performing a progressive multiplication algorithm on the sign sequence to obtain a sequence gi (i=1, . . . , k);
(c) defining a positive integer N and performing an accumulation algorithm on the sequence gi with length N to obtain a sequence zi (i=1, . . . , k); and
(d) setting thresholds T1 and T2 based on a value of N and performing motion mode identification.

### Claim 8 (depends on 7)

The method according to claim 7, wherein said step of performing difference sequence in said step (a) comprises using an algorithm:
d
i
=
{
x
i
-
x
1
,
i
<
m
x
i
-
x
i
-
m
+
1
,
k
≥
i
≥
m
wherein a value of m ranges from 2 to 10.

### Claim 9 (depends on 7)

The method according to claim 7, wherein said step of performing sign obtaining algorithm in said step (b) comprises using a sign operation algorithm:
s
i
=
{
0
,
d
i
=
0
d
i

d
i

,
d
i
≠
0
.

### Claim 10 (depends on 7)

The method according to claim 7, wherein said step of performing progressive multiplication in said step (b) comprises using a progressive multiplication algorithm:
g
i
=
{
s
i
⁢
s
1
,
i
=
p
s
i
⁢
s
i
-
p
+
1
,
k
≥
i
>
p
wherein a value of p ranges from 2 to 10.

### Claim 11 (depends on 7)

The method according to claim 7, wherein said step of performing accumulation operation in said step (c) comprises using an accumulation operation algorithm:
z
i
=
{

∑
1
i
⁢
g
i

,
i
<
N

∑
i
-
N
+
1
i
⁢
g
i

,
k
≥
i
≥
N
wherein a value of N ranges from 20 to 80.

### Claim 12 (depends on 7)

The method according to claim 7, wherein said step of identifying motion mode in said step (d) comprises using a motion mode identifying algorithm:
Motion
⁢
⁢
mode
=
{
Dynamic
⁢
⁢
state
,
z
i
>
T
2
Steady
⁢
⁢
state
,
z
i
<
T
1
Stay
⁢
⁢
in
⁢
⁢
original
⁢
⁢
state
,
T
1
≤
z
i
≤
T
2
wherein values of T1 and T2 are related to N and data characteristics, the values of T1 and T2 range from N/4 to 3N/4, and T1<T2.