Method of multipath track reduction in an aircraft tracking system

• US 5,107,268 A
• Filed: 09/20/1990
• Issued: 04/21/1992
• Est. Priority Date: 09/20/1990
• Status: Expired due to Term

• Current Assignee: L-3 Communications Corporation (L3Harris Technologies, Inc.)
• Original Assignee: Honeywell Incorporated (Honeywell International Inc.)
• Inventors: Stayton, Gregory T., Sturm, Patricia K., Motisher, Lewis R.
• Primary Examiner(s): Sotomayor, John B.
• Application Number:
  US07/585,325
• Time in Patent Office: 579 Days
• Field of Search: 342/29, 342/30, 342/32, 342/36, 342/37, 342/451, 342/455
• US Class Current: 342/36
• CPC Class Codes: G01S 13/933 of aircraft or spacecraft

Abstract

In a Traffic Alert and Collision Avoidance System (TCAS), response to interrogations can result in normal, multipath (image), and mixed multipath (potential image) tracks. The method for reducing the number of false tracks includes the steps of selecting a track to be updated from an existing track list. The selected track has the shortest measured range within the highest priority category track. A reply which has not yet been utilized is selected which has parameters which are within predetermined windows of the selected track parameters. (The predetermined windows are equal to or smaller than the windows for lower priority targets.) The selected track is updated using αβγ range squared filter, and the selected reply is marked as used. After all tracks are updated, the unused replies are tested to generate new tracks. Then all the tracks are examined to insure that predetermined track category criteria are met, otherwise the track is recategorized.

Claims

1. In an aircraft having a Traffic Alert and Collision Avoidance System (TCAS) wherein said aircraft interrogates all target aircraft in the vicinity of said aircraft in order to determine potentially dangerous situations, said target aircrafts responding to said interrogation with parameter information which can include altitude, and further wherein said responses (replies) include direct, single reflection, and double reflection replies which result in normal, multipath (image), and mixed multipath (potential image) tracks, a method for reducing the number of false tracks, including potential image tracks, comprising the steps of:

a) selecting a track to be updated from an existing track list, the selected track having the shortest measured range within a highest priority category track;

b) selecting one of said replies which has not yet been used, the reply having parameters which are within a predetermined window of the selected track parameters;

c) updating the range track of the selected track using an α

β

γ

-range-squared-filter;

d) marking the selected reply as used;

e) if more tracks need to be updated;

proceeding to step (a), otherwise, continuing;

f) checking remaining unused replies to generate new tracks; and

g) examining all tracks to insure that predetermined category criteria are met;

otherwise reclassifying the track.

2. In an aircraft having a Traffic Alert and Collision Avoidance System (TCAS) wherein said aircraft interrogates all target aircraft in the vicinity of said aircraft in order to determine potentially dangerous situations, said target aircrafts responding to said interrogation with parameter information which can include altitude, and further wherein said responses (replies) include direct, single reflection, and double reflection replies which result in normal, multipath (image), and mixed multipath (potential image) tracks, a method for reducing the number of false tracks, including potential image tracks, comprising the steps of:

a) selecting a track to be updated from an existing track list, the track having an nth priority category, n varying from 1 to N starting with n =1, the track further having the shortest measured range within the nth priority category, and where N is the lowest priority;

b) selecting one of said replies which has not yet been used, the reply having parameters which are within predetermined windows of the selected track parameters;

c) if no reply is found and the track is in a potential image category,

i) dropping the track;

otherwise--

ii) coasting the range track using α

β

γ

range squared filter, altitude, and bearing tracks; and

iii) proceeding to step (f);

d) updating

i) range track using α

β

γ

range squared filter;

ii) altitude track; and

iii) bearing track;

e) checking if the track is classified as established--

i) and if not,

1) setting the track to an established classification; and

2) continuing,

ii) otherwise, continuing; and

f) selecting the next track to be updated having the next shortest measured range within the nth priority category, and if all the tracks within the nth priority category have been updated,

i) increasing n to n+1;

ii) and if n is less than N+1, proceeding to step (a);

otherwise

iii) continuing;

g) checking remaining unused replies to generate new tracks; and

h) examining all tracks to verify that the assigned category of the track meets predetermined criteria for that category, and if the predetermined criteria are not met, recategorizing (reclassifying) the track.

3. A method for reducing the number of false tracks according to claim 2, wherein the categories include:

established normal tracks, established image tracks, non-established normal tracks, non-established image tracks, and potential image tracks.

4. A method for reducing the number of false tracks according to claim 3, wherein the categories further include:

established normal tracks older than a predetermined time.

5. A method for reducing the number of false tracks according to claim 4, wherein the category N is the potential image category.

6. A method for reducing the number of false tracks according to claim 2, further comprising the step of:

after the step of updating, marking the selected reply as used, thereby making the selected reply unusable for updating another track or initiating a track during a given surveillance period.

7. A method for reducing the number of false tracks according to claim 6, wherein the predetermined window of the selected track parameter of a lower priority category is equal to or less than the predetermined window of the higher priority categories.

8. A method for reducing the number of false tracks according to claim 7, wherein the step of examining all tracks further comprises the steps of:

for image tracks--

a) evaluating the image criteria;

b) if the image criteria are met, selecting the next track to be examined;

otherwise

c) changing the track category to normal upon a predetermined number of consecutive failures of the image criteria, the predetermined number being a fixed number greater than one.