CMO Db Inspector

This app is inspired by cmo-db, however it's not open source and some features I want doesn't exist yet. For example:

• Expose more sensor attributes instead of being a poor clone cat similar to the original CMO data viewer, which just provide some obscure values such as RangeMax.
• Do some simple calculations according to data. For example, it's insteresting to know a rough time when a sensor detects a target as target's signature is given. Also it would be useful to see the distance a missile is possible to hit its target (after the WarPlannar release) when target's auto-evading maneuver is considered.
• Prodive some statistics in additional to indivisual data.
• Interchangeability with Harpoon.

Usage

Deployment

Clone and pip install -e . in a proper environment.

Install dependencies in the environment

python -m cmo_db_inspector

python -m cmo_db_inspector.start_app YOUR_DATA_FOLDER

For example:

python -m cmo_db_inspector.start_app "D:\SteamLibrary\steamapps\common\Command - Modern Operations\DB"

Open something like http://127.0.0.1:7860 (will be prompted in the output from the above command) to use the app.

(Tested on Python 3.10, 3.12)

Radar

Radar Detection Range

This app uses following radar equationb:

$$ \begin{align*} R_{max} &= \min(R_{max,p},R_{max,PRF}) \\ R_{max,p} &= \left( \frac{P_s G^2\lambda^2\sigma C_1}{P_{e_{min}}(4\pi)^3 C_2} \right)^{1/4} \\ R_{max,RPF} &= \frac{c}{2PRF} \\ G &= \frac{4 \pi}{\theta\phi} \\ \lambda &= \frac{c}{f} \end{align*} $$

• $R_{max}$: Maximum range to detect a target.
• $P_s$: Transmitted power. DB attribute: DataSensor.RadarPeakPower
• $\lambda$: wavelength
• $c$: the speed of light. $300,000,000 m/s$
• $f$: Frequency. Derived from DataSensorFrequencySearchAndTrack.Frequency and EnumSensorFrequency.Description
• $\sigma$: RCS (Radar cross-section), which is 1m^2 for the reference calulation. The value can be found in DataAircraftSignatures.
• PRF: Pulse Repetition Frequency, pps (Pulse per second). DataSensor.RadarPRF
• $\theta$: Horizontal beam-width (radius). DataSensor.RadarHorizontalBeamwidth (degree to radians)
• $\phi$: Vertical beam-width (radians). DataSensor.RadarVerticalBeamwidth (degree to radians)
• $C_1$: Constant. DataSensor.RadarProcessingGainLoss (db to linear)
• $C_2$: Constant. DataSensor.RadarSystemNoiseLevel (db to linear)
• $P_{e_{min}}$: Minimum energy to be detected. (10^{-15}). (Someone suggest $10^{-12}$ but I found $10^{-15}$ to be more close to CMO result).

Missle

It would be useful to do non-escape zone like calculation outside CMO and its "simulation".

Effective Range

ATA Probability

Performance

Harpoon V Interchangeability

Data Mapping

Some ML models are fitted to do the mapping (Source: CMO Database, target: Harpoon V data book).

Tech Detail

The app is written in Gradio, as I love the design of Stable-Diffusion WebUI and developed a Harpoon V automation tool for company with it.

The project itself is a Python package so it can be installed from pip directly. Also it's deployed on HuggingFace using their free server. You can use it in Colab as well with some generic Colab tricks, however you should provide CMO databases for this way.

References

Harpoon IV Signatures Definition:

Contact Size	RCS Surf (db)	RCS Surf ($m^2$)	Sample Range $(nm)$	RCS Air $(db)$	RCS Air $m^2$	Sample Range (nm)
Large	65	3,000,000	100	18	63	100
Medium	55	300,000	56	10	10	63
Small	45	30,000	32	5	3.2	47
Very Small	35	3,000	18	-10	0.1	20
Stealthy	25	300	10	-30	0.001	6

APG-65 (LD/SD) Harpoon data:

Version	Large	Medium	Small	Very Small	Stealthy
Harpoon IV	160	101	75	32	10
Harpoon V	160	112	80	32	10

For data field explanation, see CMO's official cmo-db-request issue template, for example:

https://github.com/PygmalionOfCyprus/cmo-db-requests/blob/main/.github/ISSUE_TEMPLATE/21_NEW-SENSOR.yml

Due to current Gradio's limitation, double click on the same cell (i,j coordinates) in the table (even it's generated from another search), will not triiger click event. You can select its left or right cell to trigger the event.