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Research Article

Estimation of aircraft distances using transponder signal strength information

ORCID Icon | (Reviewing Editor)
Article: 1466619 | Received 08 Jan 2018, Accepted 16 Apr 2018, Published online: 26 Apr 2018

Figures & data

Table 1. Mode S downlink formats

Figure 1. Flowchart depiction of the distance estimation process.

Figure 1. Flowchart depiction of the distance estimation process.

Figure 2. Mode S data vector.

Figure 2. Mode S data vector.

Figure 3. Departure, N170TH, KLAF, April 1, 2016.

Figure 3. Departure, N170TH, KLAF, April 1, 2016.

Figure 4. Signal strength and altitude, N170TH, KLAF, April 1, 2016.

Figure 4. Signal strength and altitude, N170TH, KLAF, April 1, 2016.

Figure 5. Noiseless signal channel.

Figure 5. Noiseless signal channel.

Figure 6. Noisy signal channel.

Figure 6. Noisy signal channel.

Figure 7. Geometry for Aulin’s short-term fading model.

Figure 7. Geometry for Aulin’s short-term fading model.

Figure 8. Doppler power density spectrum with overlay of first-order Butterworth filter (f c  = 220 Hz).

Figure 8. Doppler power density spectrum with overlay of first-order Butterworth filter (f c  = 220 Hz).

Figure 9. Signal excursions and distance estimation errors, N170TH, KLAF, April 1, 2016.

Figure 9. Signal excursions and distance estimation errors, N170TH, KLAF, April 1, 2016.

Figure 10. TERM distance estimation error with Pearson Type VII distribution overlay.

Figure 10. TERM distance estimation error with Pearson Type VII distribution overlay.

Figure 11. NISW distance estimation error with Pearson Type VII distribution overlay.

Figure 11. NISW distance estimation error with Pearson Type VII distribution overlay.

Table 2. Distance estimation errors