Velocity Smoothing Parameter Solution

STEP 0: Pre-Calculation Summary
Formula Used
Velocity Smoothing Parameter = ((Smoothed Velocity-(n-1)th Scan Smoothed Velocity)/(Measured Position at Nth Scan-Target Predicted Position))*Time between Observations
β = ((vs-vs(n-1))/(xn-xpn))*Ts
This formula uses 6 Variables
Variables Used
Velocity Smoothing Parameter - Velocity Smoothing Parameter is the tuning parameter which is used to improve the quality of smoothed velocity estimated by the track-while-scan surveillance radar to avoid noisy measurements.
Smoothed Velocity - (Measured in Meter per Second) - Smoothed Velocity is the smoothed estimate of target's present velocity on the basis of the past detections by the track-while-scan surveillance radar.
(n-1)th Scan Smoothed Velocity - (Measured in Meter per Second) - (n-1)th Scan Smoothed Velocity is the smoothed estimate of target's velocity at the n-1 th scan by the track-while-scan surveillance radar.
Measured Position at Nth Scan - (Measured in Meter) - Measured position at Nth scan is the measured or actual position of target at the nth scan by the track-while-scan surveillance radar.
Target Predicted Position - (Measured in Meter) - Target Predicted Position is the predicted or estimated position of target at the nth scan by the track-while-scan surveillance radar.
Time between Observations - (Measured in Second) - Time between observations is the time taken between two successive observations made by the track-while-scan surveillance radar.
STEP 1: Convert Input(s) to Base Unit
Smoothed Velocity: 9.3 Meter per Second --> 9.3 Meter per Second No Conversion Required
(n-1)th Scan Smoothed Velocity: 11 Meter per Second --> 11 Meter per Second No Conversion Required
Measured Position at Nth Scan: 6 Meter --> 6 Meter No Conversion Required
Target Predicted Position: 74 Meter --> 74 Meter No Conversion Required
Time between Observations: 320 Second --> 320 Second No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
β = ((vs-vs(n-1))/(xn-xpn))*Ts --> ((9.3-11)/(6-74))*320
Evaluating ... ...
β = 8
STEP 3: Convert Result to Output's Unit
8 --> No Conversion Required
FINAL ANSWER
8 <-- Velocity Smoothing Parameter
(Calculation completed in 00.020 seconds)

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Created by Shobhit Dimri
Bipin Tripathi Kumaon Institute of Technology (BTKIT), Dwarahat
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Velocity Smoothing Parameter Formula

​LaTeX ​Go
Velocity Smoothing Parameter = ((Smoothed Velocity-(n-1)th Scan Smoothed Velocity)/(Measured Position at Nth Scan-Target Predicted Position))*Time between Observations
β = ((vs-vs(n-1))/(xn-xpn))*Ts

What is Time Between Observations?

The Time Between Observations is the total time taken between the observation in the velocity as by the prediction of the target.

How to Calculate Velocity Smoothing Parameter?

Velocity Smoothing Parameter calculator uses Velocity Smoothing Parameter = ((Smoothed Velocity-(n-1)th Scan Smoothed Velocity)/(Measured Position at Nth Scan-Target Predicted Position))*Time between Observations to calculate the Velocity Smoothing Parameter, The Velocity Smoothing Parameter formula is used to calculate the tuning parameter which is used to improve the quality of smoothed velocity estimated by the track-while-scan surveillance radar to avoid noisy measurements due to factors like clutters or noise in radar system. Velocity Smoothing Parameter is denoted by β symbol.

How to calculate Velocity Smoothing Parameter using this online calculator? To use this online calculator for Velocity Smoothing Parameter, enter Smoothed Velocity (vs), (n-1)th Scan Smoothed Velocity (vs(n-1)), Measured Position at Nth Scan (xn), Target Predicted Position (xpn) & Time between Observations (Ts) and hit the calculate button. Here is how the Velocity Smoothing Parameter calculation can be explained with given input values -> -9.411765 = ((9.3-11)/(6-74))*320.

FAQ

What is Velocity Smoothing Parameter?
The Velocity Smoothing Parameter formula is used to calculate the tuning parameter which is used to improve the quality of smoothed velocity estimated by the track-while-scan surveillance radar to avoid noisy measurements due to factors like clutters or noise in radar system and is represented as β = ((vs-vs(n-1))/(xn-xpn))*Ts or Velocity Smoothing Parameter = ((Smoothed Velocity-(n-1)th Scan Smoothed Velocity)/(Measured Position at Nth Scan-Target Predicted Position))*Time between Observations. Smoothed Velocity is the smoothed estimate of target's present velocity on the basis of the past detections by the track-while-scan surveillance radar, (n-1)th Scan Smoothed Velocity is the smoothed estimate of target's velocity at the n-1 th scan by the track-while-scan surveillance radar, Measured position at Nth scan is the measured or actual position of target at the nth scan by the track-while-scan surveillance radar, Target Predicted Position is the predicted or estimated position of target at the nth scan by the track-while-scan surveillance radar & Time between observations is the time taken between two successive observations made by the track-while-scan surveillance radar.
How to calculate Velocity Smoothing Parameter?
The Velocity Smoothing Parameter formula is used to calculate the tuning parameter which is used to improve the quality of smoothed velocity estimated by the track-while-scan surveillance radar to avoid noisy measurements due to factors like clutters or noise in radar system is calculated using Velocity Smoothing Parameter = ((Smoothed Velocity-(n-1)th Scan Smoothed Velocity)/(Measured Position at Nth Scan-Target Predicted Position))*Time between Observations. To calculate Velocity Smoothing Parameter, you need Smoothed Velocity (vs), (n-1)th Scan Smoothed Velocity (vs(n-1)), Measured Position at Nth Scan (xn), Target Predicted Position (xpn) & Time between Observations (Ts). With our tool, you need to enter the respective value for Smoothed Velocity, (n-1)th Scan Smoothed Velocity, Measured Position at Nth Scan, Target Predicted Position & Time between Observations and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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