docs: add 3 published papers to citations

README.md

@@ -19,9 +19,6 @@ task_categories:
 - audio-classification
 ---
 
-
-# Micro-Doppler Signatures 
-
 # Micro-Doppler Signatures - Helicopter Classification Dataset
 
 Synthetic IQ-sampled radar returns from three helicopter types, generated using a physics-based sinc micro-Doppler scattering model. Designed for benchmarking ML classifiers on rotating-blade target identification.
@@ -39,7 +36,6 @@ Two CSV files, each with 100,000 samples:
 
 Each row is one 0.5-second radar observation window at 1 kHz sampling rate (500 complex IQ samples per window), flattened as real and imaginary columns.
 
-
 ### Target classes
 
 | Label | Helicopter | Blades | Rotor RPM | Blade length |
@@ -50,7 +46,11 @@ Each row is one 0.5-second radar observation window at 1 kHz sampling rate (500
 
 ### Signal model
 
-The micro-Doppler return from the k-th blade is modelled as a sinc function with phase modulation from the rotating blade geometry. AWGN is added to reach the target SNR.
+The micro-Doppler return from the k-th blade is modelled as:
+
+$$s_k(t) = L \cdot \text{sinc}\!\left(\frac{2L}{\lambda}\cos\phi_k\cos\beta\right) \exp\!\left(j\frac{4\pi L}{\lambda}\cos\phi_k\cos\beta\right)$$
+
+where phi_k(t) = omega*t + theta_0 + 2*pi*k/N_b is the instantaneous blade phase, L is blade half-length, lambda is radar wavelength, and beta is the elevation angle. AWGN is added to reach the target SNR.
 
 ## Column Schema
 
@@ -71,7 +71,6 @@ elevation_deg  - float                 target elevation angle (0-45 deg)
 velocity_ms    - float                 bulk target radial velocity (-50 to +50 m/s)
 ```
 
-
 ## Intended Use
 
 - Benchmarking classical and deep learning classifiers on radar micro-Doppler data
@@ -90,16 +89,62 @@ velocity_ms    - float                 bulk target radial velocity (-50 to +50 m
         - Code, notebooks, and full experimental pipeline:
         - **[bukac82/radar-microdoppler-ai](https://github.com/bukac82/radar-microdoppler-ai)**
       - ## Citation
-    - ```bibtex
-      @software{agnihotri2026microdoppler,
-        author    = {Agnihotri, Vikas},
-        title     = {Radar Micro-Doppler AI: End-to-End Helicopter Classification},
-        year      = {2026},
-        url       = {https://github.com/bukac82/radar-microdoppler-ai}
-      }
-      ```
-
-      ## License
-
-      MIT - free to use for research and commercial purposes with attribution.
-      
+    - If you use this dataset in your research, please cite the dataset/software repository and/or the relevant papers below.
+  - ### Dataset & Software Repository
+  - ```bibtex
+    @software{agnihotri2026microdoppler,
+      author    = {Agnihotri, Vikas},
+      title     = {Radar Micro-Doppler AI: End-to-End Helicopter Classification},
+      year      = {2026},
+      url       = {https://github.com/bukac82/radar-microdoppler-ai}
+    }
+    ```
+
+    ### Related Papers
+
+    **Quantum ML on NISQ Hardware:**
+    ```bibtex
+    @article{agnihotri2026quantum,
+      author    = {Agnihotri, Vikas and Kaur, Jasleen and Kaushik, Sarvagya},
+      title     = {Practical Evaluation of Quantum Kernel Methods for Radar
+                   Micro-Doppler Classification on Noisy Intermediate-Scale
+                   Quantum ({NISQ}) Hardware},
+      journal   = {arXiv preprint},
+      volume    = {arXiv:2601.22194},
+      year      = {2026},
+      url       = {https://arxiv.org/abs/2601.22194}
+    }
+    ```
+
+    **Radar-Based ATR Framework (foundational SVM/signal model):**
+    ```bibtex
+    @article{agnihotri2020radar,
+      author    = {Agnihotri, Vikas and Sabharwal, Munish},
+      title     = {An Automatic Radar Based Aerial Target Recognition Framework},
+      journal   = {Journal of Interdisciplinary Mathematics},
+      volume    = {23},
+      number    = {2},
+      pages     = {321--333},
+      year      = {2020},
+      doi       = {10.1080/09720502.2020.1737377},
+      url       = {https://doi.org/10.1080/09720502.2020.1737377}
+    }
+    ```
+
+    **Frequency Effects on Micro-Doppler (underpins extended dataset design):**
+    ```bibtex
+    @inproceedings{agnihotri2019frequency,
+      author    = {Agnihotri, Vikas and Sabharwal, Munish and Goyal, Vinay},
+      title     = {Effect of Frequency on Micro-Doppler Signatures of a Helicopter},
+      booktitle = {2019 International Conference on Advances in Big Data,
+                   Computing and Data Communication Systems (icABCD)},
+      year      = {2019},
+      doi       = {10.1109/ICABCD.2019.8851024},
+      url       = {https://doi.org/10.1109/ICABCD.2019.8851024}
+    }
+    ```
+
+    ## License
+
+    MIT - free to use for research and commercial purposes with attribution.
+