Benchmark for Radar Allocation and Tracking in ECM
2023-06-27
ECM is Electronic Counter Measures.
W.D. Blair, G.A. Watson, T. Kirubarajan, Y. Bar-Shalom. 1996, published 1998.
This is the “Benchmark 2” paper.
Thoughts
So these are all from the late 1990s, but there’s a bizarre glimmer of hope that I have that I’ll be able to run them myself. I think worst case if I want to steer my masters into “just make a benchmark for RRM”, seeing how other benchmarks were implemented/interfaced with would be beneficial.
Summary
Intro
Tracking has been studied extensively, no standard or benchmark problems had been identified in the literature for comparison and evaluation of proposed algorithms until benchmark 1 came about.
Previous benchmark 1:
target amplitude fluctuations
beamshape
missed detections
finite resolution
target maneuvers
track loss
scored by lowest dwells while dropping <=4% of tracks
Did not include:
false alarms
electronic counter measures
TODO: “Real World” is defined in [8,9]
How it works:
Each benchmark participant codes a tracking algorithm which is given initial detection of the target:
range
bearing
and elevation
For each experiment, save the:
tracking errors
radar energy
radar time
After the last experiment of the Monte Carlo simulation, compute:
average tracking error,
average radar energy per second,
average radar time per second,
percent of lost tracks
The track is considered lost if the distance between the true target position and the target position estimate exceeds one beamwidth in angle or range gates.
Stand-Off-Jammer power is limited so that it can be defeated with higher energy waveforms.
Track initiation is not part of the benchmark.
Track reacquisition within a few radar dwells is allowed.
It adds False-Alarms, Stand-Off-Jammer, and Range-Gate-Pull-Off countermeasures.
8 radar waveforms that differ primarily in pulse length are available for control (selection).
When Stand-Off-Jammer is in mainlobe of the radar beam pattern, the target return is corrupted or hidden by the jammer signal. When Stand-Off-Jammer is in a sidelobe, effective signal-to-noise ratio for the target is reduced. Initial bearing and elevation of the jammer are given to the tracking algorithm.
Radar-Cross-Section fluctuations according to the Swerling III type.
Targets:
of lateral acceleration
of longitudinal acceleration
range in 10 km to 100 km
elevation in to
azimuth in to
radar-cross-section is dB
dB achievable with the highest energy waveform
Stand-Off-Jammer remains at ranges near 150 km and performs less than acceleration
Radar Model
4 GHz phased array
amplitude-comparison monopulse
uniform illumination across the array
each dwell is one phase/frequency discrete-coded pulse
range gate is 1575 m for a track dwell and 10 km for a search dwell
range bins vary between 70 and 444 depending on the waveform and dwell type
quasi-circular beam
beamwidth increases as the beam is steered off broadside
3 dB beamwidth = on broadside
= at broadside angle of
Target trajectories are stored in a data file at 20 Hz
Minimum time period between sets of radar dwells is 0.1 s or 10 Hz
set contains dwells, requested together, equal time in a set
dwells require 0.001 s of radar time (in simulation, all modeled in the same target state)
Each dwell returns:
signal-to-noise ratio
bearing monopulse ratio
elevation monopulse ratio
range
non-gaussian error on monopulse ratio
white gaussian errors on everything else
Section 3 of the paper
all the classic radar equations are described, some more implementation magic numbers are listed, and tables outlining the params of the 8 waveforms are given.
Target Trajectories, tracking algorithm
6 canned trajectories are described in great detail. Block diagram showing how tracking algorithm loop works. Description of how initialization takes place.
Criteria for Evaluation of Tracking
Maximum track loss of 4%
loss when greater than 1 two-way beamwidth or 1.5 range gates in range off
“Since the radar time required for a dwell is typically dominated by the signal processing time” just use 0.001 s for every dwell.“ Note: This is round trip time,
compute used is measured in units of “Kalman filters”.
some other requirements for visualizations
one common algorithm for all 6 paths, be generic, no path hacking or user input up the sleeve
Concluding Remarks
Simplifying assumptions:
point targets with Radar-Cross-Section fluctuations independent of aspect angle
no glint errors
closely spaced targets are not considered
sea-surface induced multipath not considered
low power Stand-Off-Jammer
no onboard target jammer
waveform types limited to fixed waveforms with discrete codes
no pulse-Doppler waveforms (which are now common)
no linear frequency modulated waveforms (which are now common)
effects of background clutter are not considered
track initiation in a cluttered environment has not been considered