diff --git a/lib/src/main/java/org/altbeacon/beacon/distance/PathLossDistanceCalculator.kt b/lib/src/main/java/org/altbeacon/beacon/distance/PathLossDistanceCalculator.kt
new file mode 100644
index 000000000..c61c05b8d
--- /dev/null
+++ b/lib/src/main/java/org/altbeacon/beacon/distance/PathLossDistanceCalculator.kt
@@ -0,0 +1,111 @@
+package org.altbeacon.beacon.distance
+
+import android.util.Log
+import org.altbeacon.beacon.logging.LogManager
+
+/**
+ * Distance = 10^((Measured Power - Instant RSSI)/(10*N)).
+ */
+class PathLossDistanceCalculator(var receiverRssiOffset: Double): DistanceCalculator {
+    companion object {
+        var referenceReceieverRssiAt1m = -59.0 // received dBm from a +3dBm transmitter at 1m measured by iPhone 4s/5
+        val TAG = "PathLossDistanceCalculator";
+    }
+    public var environmentalConstant = 2.0 // 2.0 is the default value for free space
+
+    /**
+     * Calculated the estimated distance in meters to the beacon based on a reference rssi at 1m
+     * and the known actual rssi at the current location
+     *
+     * @param txPower
+     * @param rssi
+     * @return estimated distance
+     */
+    @Override
+    override fun calculateDistance(txPower: Int, rssi: Double): Double {
+        return calculateDistance(txPower, rssi, this.environmentalConstant, this.receiverRssiOffset);
+    }
+
+    fun calculateDistance(txPower: Int, rssi: Double, enviornmentalConstant: Double, receiverRssiOffset: Double): Double {
+        if (rssi == 0.0) {
+            return -1.0; // if we cannot determine accuracy, return -1.
+        }
+        //LogManager.d(TAG, "calculating distance based on mRssi of %s and txPower of %s", rssi, txPower);
+
+        // First adjust RSSI for the receiving phone's (this phone's) relative antenna gain
+        val adjustedRssi = rssi-receiverRssiOffset;
+        val distance = Math.pow(10.0, ((txPower-adjustedRssi)/(10*environmentalConstant)));
+        //LogManager.d(TAG, "avg rssi: %s distance: %s", rssi, distance);
+        return distance;
+    }
+
+
+    class Trainer() {
+        val deviceMeasurements = arrayOf(
+            DeviceMeasurements("iPhone 12", distances=arrayOf(1.0, 3.0, 5.0), rssis=arrayOf(-65.0, -72.0, -76.0)),
+            DeviceMeasurements("iPhone 6", distances=arrayOf(1.0, 2.0, 5.0), rssis=arrayOf(-68.0, -75.0, -78.0)),
+            DeviceMeasurements("iPhone 7", distances=arrayOf(1.0, 2.0, 5.0), rssis=arrayOf(-57.0, -66.0, -77.0)),
+            DeviceMeasurements("iPhone SE1", distances=arrayOf(1.0, 2.0, 5.0), rssis=arrayOf(-61.0, -66.0, -78.0)),
+            DeviceMeasurements("Pixel 3a", distances=arrayOf(1.0, 2.0, 5.0), rssis=arrayOf(-58.0, -64.0, -66.0)),
+            DeviceMeasurements("Pixel 7a", distances=arrayOf(1.0, 3.0, 5.0), rssis=arrayOf(-56.0,-64.0,-74.0)))
+
+        fun findOptimalEnvironmentalConstant(returnErrorValue: Boolean = false): Double {
+            var optimalEnvironmentalConstant = 0.0
+            var minError = Double.MAX_VALUE
+            for (i in 1..300) {
+                val environmentalConstant = i / 100.0
+                val error = testAllDeviceMeasurements(environmentalConstant)
+                if (error < minError) {
+                    minError = error
+                    optimalEnvironmentalConstant = environmentalConstant
+                }
+                println("---- percentage error: ${minError} with environmental constant: ${optimalEnvironmentalConstant}")
+                testAllDeviceMeasurements(optimalEnvironmentalConstant)
+            }
+            if (returnErrorValue) {
+                println("****  optimal environmental constant: ${optimalEnvironmentalConstant} with error: ${minError}")
+                return minError
+            }
+            return optimalEnvironmentalConstant
+        }
+        fun testAllDeviceMeasurements(enviornmentalConstant: Double? = null): Double {
+            var totalPercentageError = 0.0
+            val distanceCalculator = PathLossDistanceCalculator(0.0)
+            if (enviornmentalConstant != null) {
+                distanceCalculator.environmentalConstant = enviornmentalConstant
+            }
+            for (device in deviceMeasurements) {
+                if (device.distances.size > 0) {
+                    if (device.distances[0] == 1.0) {
+                        val receiverRssiOffset = device.rssis[0] - referenceReceieverRssiAt1m
+                        LogManager.d(TAG, "device: %s receiverRssiOffset: %lf", device.name, receiverRssiOffset)
+                        distanceCalculator.receiverRssiOffset = receiverRssiOffset
+                    }
+                    val percentageError = testDeviceMeasurements(distanceCalculator, device.distances, device.rssis)
+                    println("device: ${device.name} error: ${percentageError}")
+                    totalPercentageError += percentageError
+                }
+            }
+            return totalPercentageError/deviceMeasurements.size
+        }
+        // Returns a score of the absolute error differences in meters across all the measurements
+        fun testDeviceMeasurements(distanceCalculator: DistanceCalculator, meterDistances: Array<Double>, rssis: Array<Double>): Double {
+            var totalPercentageError = 0.0
+
+            val strongRssi = rssis[0]+10.0
+            val strongDistance = distanceCalculator.calculateDistance(referenceReceieverRssiAt1m.toInt(), strongRssi)
+            println("est distance: ${strongDistance} actual distance: N/A  percentage error: N/A  rssi: ${strongRssi}")
+            for (i in meterDistances.indices) {
+                val distance = distanceCalculator.calculateDistance(referenceReceieverRssiAt1m.toInt(), rssis[i])
+                val percentageError = Math.abs(distance - meterDistances[i])/meterDistances[i]*100
+                totalPercentageError += percentageError
+                println("est distance: ${distance} actual distance: ${meterDistances[i]}  percentage error: ${percentageError}  rssi: ${rssis[i]}")
+            }
+            val averagePercentageError = totalPercentageError / meterDistances.size
+            //println("total error: ${totalPercentageError}, per measurement score: ${averagePercentageError}")
+
+            return averagePercentageError
+        }
+    }
+    class DeviceMeasurements(val name: String, val distances: Array<Double>, val rssis: Array<Double>) {}
+}
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diff --git a/lib/src/test/java/org/altbeacon/beacon/distance/PathLossDistanceCalculatorTrainerTest.kt b/lib/src/test/java/org/altbeacon/beacon/distance/PathLossDistanceCalculatorTrainerTest.kt
new file mode 100644
index 000000000..dec3b84a3
--- /dev/null
+++ b/lib/src/test/java/org/altbeacon/beacon/distance/PathLossDistanceCalculatorTrainerTest.kt
@@ -0,0 +1,12 @@
+package org.altbeacon.beacon.distance
+
+import org.junit.Assert
+import org.junit.Test
+
+class PathLossDistanceCalculatorTrainerTest {
+    @Test
+    fun train() {
+        val error = PathLossDistanceCalculator.Trainer().findOptimalEnvironmentalConstant(returnErrorValue = true)
+        Assert.assertTrue("Distance estimation percentage errors are less than ten percent", error < 0.1)
+    }
+}
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