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It is well known that large antenna arrays with beamforming capabilities are required to compensate for the high path-loss at millimeter-wave (mmWave) frequencies. Recently, a practical two-stage Rotman lens beamformer has demonstrated increased antenna gain with reduced implementation complexity, since the conventional beam selection network was omitted. In this work, we adopt this system and we investigate its performance in terms of symbol estimation when analog-to-digital converters (ADCs) with low-resolution sampling being employed. Although this design is characterized by low-complexity and low-cost, the analog beamformer and the ADCs introduce several impairments to the received signal. To mitigate these effects, we have developed a robust maximum a posteriori (MAP) estimator based on the Expectation-Maximization (EM) iterative algorithm. The proposed algorithm outperforms the conventional EM approach, exhibiting small mean-square-error in the medium to high signal-to-noise ratio regimes.
|Title of host publication||2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 29 Aug 2019|
|Event||20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019 - Cannes, France|
Duration: 2 Jul 2019 → 5 Jul 2019
|Name||IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC|
|Conference||20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019|
|Period||2/07/19 → 5/07/19|
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- 1 Finished
1/03/17 → 29/02/20